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A dynamic aggregation strategy enhanced efficient global optimization algorithm for solving high-dimensional turbomachinery design problems Eng. Optim. (IF 2.7) Pub Date : 2024-04-18 Qineng Wang, Zhendong Guo, Yun Chen, Guangjian Ma, Liming Song, Jun Li
To address challenges effectively in turbomachinery design optimization involving high-dimensional (d≥30) expensive black-box problems, a dedicated Efficient Global Optimization (EGO) algorithm is ...
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A novel batch-selection strategy for parallel global optimization Eng. Optim. (IF 2.7) Pub Date : 2024-04-18 Jiawei Liu, Yike Xiao, Xiaojun Duan, Xuan Chen, Zhengming Wang, Zecong Liu
Bayesian-based parallel global optimization methods have become increasingly popular for solving black-box functions using parallel resources. When the function exhibits multimodality, it is diffic...
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Adaptive hybrid optimization algorithm for numerical computing in engineering applications Eng. Optim. (IF 2.7) Pub Date : 2024-04-18 Hongbo Wang, Yuanbin Mo
A novel hybrid arithmetic optimization algorithm (HAOA) is proposed to address the inherent constraints of traditional numerical computing techniques, including increased computational complexity a...
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Sine cosine algorithm with peer learning for global numerical optimization Eng. Optim. (IF 2.7) Pub Date : 2024-04-18 Jiatang Cheng, Qiuhong Lin, Yan Xiong
The sine cosine algorithm (SCA) is a simple and effective optimization method. However, it may exhibit stagnation behaviour in addressing complex optimization problems. Therefore, a novel improved ...
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Multi-objective mixed integer programming modelling for closed-loop supply chain network design: an enhanced Benders decomposition algorithm Eng. Optim. (IF 2.7) Pub Date : 2024-04-16 Chang Liu, Ying Ji, M. I. M. Wahab, Zhisheng Peng, Xinqi Li, Shaojian Qu
Considering a closed-loop supply chain (CLSC) network with uncertain demand and recycling rates, this article innovatively designs a multi-objective mixed-integer programming model that incorporate...
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A cooperative grey wolf optimizer for the joint flowshop scheduling problem with sequence-dependent set-up time Eng. Optim. (IF 2.7) Pub Date : 2024-04-12 Shuilin Chen, Jianguo Zheng, Wenqiu Zhang
With the complexity involved in manufacturing products, many companies use multiple processes to complete product processing. Most studies have been concerned with single production but have neglec...
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A cooperative and competitive krill herd algorithm for structural optimization Eng. Optim. (IF 2.7) Pub Date : 2024-04-08 Lixiang Cheng, Yan-Gang Zhao, Lewei Yan
This article proposes a novel method, named the cooperative and competitive krill herd (CCKH) algorithm, in which both cooperative strategy and competitive strategy are introduced to solve the stru...
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Distributed predictive motion planning of automated guided vehicles: serial versus parallel schemes Eng. Optim. (IF 2.7) Pub Date : 2024-04-07 Xuwen Wu, Jianbin Xin, Andrea D'Ariano
The article presents two distributed motion planning methods for dynamically coordinating multiple automated guide vehicles (AGVs) in an industrial setting, aiming to enhance their flexibility, rob...
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A novel kriging-improved high-dimensional model representation metamodelling technique for approximating high-dimensional problems Eng. Optim. (IF 2.7) Pub Date : 2024-04-07 Qi Zhang, Ping Qiao, Yizhong Wu
Aiming to address the issue of the ‘curse of dimensionality’ encountered in approximating high-dimensional problems using surrogate-based methods, high-dimensional model representation (HDMR), deco...
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Solving the flow-shop scheduling problem with human factors and two competing agents with deep reinforcement learning Eng. Optim. (IF 2.7) Pub Date : 2024-04-07 Tao Ren, Zhuoran Dong, Fang Qi, Jiacheng Weng, Hanyu Xue
With the development of globalized production, customer satisfaction has become a critical concern for companies. Multi-agent models have gained attention, aiming to meet customer demands while red...
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Density-based topology optimization for minimizing von Mises stress using the modified optimality criteria method and demonstration by tensile testing Eng. Optim. (IF 2.7) Pub Date : 2024-04-04 M. Kishida, T. Kurahashi, H. Oguri
The authors propose a modified optimality criteria (OC) method that incorporates the concept of Newton's method for the OC method. The modified OC method has fewer arbitrary parameters set by the e...
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An improved artificial bee colony algorithm for the multi-objective cooperative disassembly sequence optimization problem considering carbon emissions and profit Eng. Optim. (IF 2.7) Pub Date : 2024-04-04 Zhaofang Chen, Hao Cheng, Yongfeng Liu, Mohammed Aljuaid
The disassembly and recycling of electronic waste are essential for realizing residual value, lowering carbon emissions and fostering sustainable development. This article addresses multi-objective...
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Scheduling optimization of flexible flow shop with buffer capacity limitation based on an improved discrete particle swarm optimization algorithm Eng. Optim. (IF 2.7) Pub Date : 2024-03-25 Daliang Chang, Haibo Shi, Chang Liu, Fu Meng
To address the challenge of production scheduling in flexible flow shops with buffer capacity limitations, a mathematical model is established to minimize the maximum completion time and maximize e...
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Multi-objective optimization design of power pack structures based on floating projection topology optimization Eng. Optim. (IF 2.7) Pub Date : 2024-03-15 Dengfeng Hang, Shunshun Zhou, Xiaolei Yan
Battery packs are vital components for storing and releasing energy. However, during driving, the intensity of heat emission and mechanical performance of electric vehicles are interrelated but con...
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Accelerating sampling-based tolerance–cost optimization by adaptive surrogate models Eng. Optim. (IF 2.7) Pub Date : 2024-03-14 Martin Roth, Stephan Freitag, Michael Franz, Stefan Goetz, Sandro Wartzack
High numbers of function evaluations are inevitable to guarantee the reliability and optimality of sampling-based tolerance–cost optimization. Despite using different countermeasures to increase it...
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Scheduling optimization of tier-captive four-way shuttle-based storage and retrieval systems with multiple lifts Eng. Optim. (IF 2.7) Pub Date : 2024-03-06 Chenhao Ren, Jiansha Lu, Yiping Shao, Yan Zhan, Weiguang Jiang, Wenbin Zhao
The four-way shuttle-based storage and retrieval system (FSS/RS) handles retrieval transactions through shuttles moving horizontally in four directions and lifts moving vertically. The scheduling p...
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Circulatory system-based optimization algorithm with dynamic penalty function for optimum design of large-scale water distribution networks Eng. Optim. (IF 2.7) Pub Date : 2024-02-29 Veli Batmaz, Ibrahim Behram Ugur
Water distribution networks (WDNs) are a crucial component of urban infrastructure, and their optimization plays a vital role in minimizing construction costs. However, existing heuristic algorithm...
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Sparse optimization over polyhedral sets based on weighted ℓ-norm minimization Eng. Optim. (IF 2.7) Pub Date : 2024-02-27 Vahid Amiri Khorasani, Esmaile Khorram
Finding the sparsest solutions over a polyhedral set is a challenging problem that has received a great deal of attention in the research community. This problem is typically NP-hard owing to the n...
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Structural damage identification through unscented Kalman inversion with l1-norm regularization Eng. Optim. (IF 2.7) Pub Date : 2024-02-20 Dan Li, Jiajun Zhou, Jian Zhang
Advances in modal analysis have motivated finite element model updating for damage identification based on vibration monitoring. However, the model updating problem is usually ill-posed owing to li...
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Evolving many-objective dispatching rule pairs for unrelated parallel machine scheduling with sequence-dependent setup times Eng. Optim. (IF 2.7) Pub Date : 2024-02-19 Chuangfeng Zeng, Jianjun Liu, Chengfeng Peng, Qingxin Chen
The real-world problem of unrelated parallel machine scheduling problem with sequence-dependent setup times (UPMSPSST) is investigated and focuses on two key aspects: fast solution and many-objecti...
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Anomaly detection-based undersampling for imbalanced classification problems Eng. Optim. (IF 2.7) Pub Date : 2024-02-20 You-Jin Park, Paula Brito, Yun-Chen Ma
In various machine learning applications, classification plays an important role in categorizing and predicting data. To improve the classification performance, it is crucial to identify and remove...
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Topology optimization for cyclic periodic structures with frequency objectives of nodal diameter modes Eng. Optim. (IF 2.7) Pub Date : 2024-02-18 Shenli Xu, Mingzhou Wang, Caihua Zhou, Yan Zhou, Siyuan Wan, Bo Wang
The evaluation of dynamic reliability in disc structures relies on the frequency of nodal diameter modes, which can be determined through calculations on cyclic periodic structures. There is a pres...
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Non-convex shape optimization by dissipative Hamiltonian flows Eng. Optim. (IF 2.7) Pub Date : 2024-02-18 M. Bolten, O. T. Doganay, H. Gottschalk, K. Klamroth
Shape optimization is important for improving the performance of mechanical components. In the past, gradient based optimization methods using the elegant adjoint formalism dominated the field. Gra...
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Heuristic approaches for scheduling of a two-machine flowshop with outsourcing lead-time Eng. Optim. (IF 2.7) Pub Date : 2024-02-15 Eun-Seok Kim, Ik Sun Lee
This article studies a scheduling problem of a two-machine flowshop , considering outsourcing lead-time, where outsourcing a job incurs outsourcing cost as well as outsourcing lead-time. Each job h...
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Control parameter optimization of underwater gliders with uncertainty using hierarchical optimization method and interval analysis theory Eng. Optim. (IF 2.7) Pub Date : 2024-02-15 Lijie Tan, Hongyu Wu, Zhihong Jiang, Qingjian Wu, Yuxing Hao, Yunqiang Yang, Shaoze Yan
This article attempts to solve the engineering optimization problem for control parameter configuration of underwater gliders with parameter uncertainty. The optimization objectives are maximizing ...
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Product quality recognition and its industrial application based on lightweight machine learning Eng. Optim. (IF 2.7) Pub Date : 2024-02-14 Jieyang Peng, Dongkun Wang, Simon Kreuzwieser, Andreas Kimmig, Xiaoming Tao, Liting Wang, Jivka Ovtcharova
Quality management plays a crucial role in manufacturing industry as it directly impacts product quality and customer satisfaction. Traditional manufacturing industries have begun incorporating dee...
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Development of a non-uniform cellular automata framework for sizing, topology and layout optimization of truss structures Eng. Optim. (IF 2.7) Pub Date : 2024-02-12 Mohamed El Bouzouiki, Ramin Sedaghati, Ion Stiharu
This article presents a bi-level non-uniform cellular automata (CA) algorithm for the solution of sizing, topology and layout optimization of truss structures. The non-uniform CA was successfully u...
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Multi-fidelity expected improvement based on multi-level hierarchical kriging model for efficient aerodynamic design optimization Eng. Optim. (IF 2.7) Pub Date : 2024-02-12 Yu Zhang, Zhong-hua Han, Wen-ping Song
To reduce the computational burden of aerodynamic design optimization, a multi-fidelity expected improvement (MFEI) method is developed, based on the error analysis of a multi-level hierarchical kr...
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Shape and size optimization of truss structure by means of improved artificial rabbits optimization algorithm Eng. Optim. (IF 2.7) Pub Date : 2024-02-12 Seyedeh Ladan SeyedOskouei, Reza Sojoudizadeh, Reza Milanchian, Hadi Azizian
The main aim of this article is to use a new metaheuristic algorithm for the optimum design of truss structures. The artificial rabbits optimization (ARO) algorithm is used, in which rabbits’ natur...
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An improved optimization method combining particle swarm optimization and dimension reduction kriging surrogate model for high-dimensional optimization problems Eng. Optim. (IF 2.7) Pub Date : 2024-02-12 Junxiang Li, Ben Han, Jianqiao Chen, Zijun Wu
An improved optimization method is proposed which combines the particle swarm optimization (PSO) algorithm with the dimension reduction kriging surrogate model (DK), namely PSO + DK. In this method...
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An effective approach for total completion time minimization subject to makespan constraint in permutation flowshops Eng. Optim. (IF 2.7) Pub Date : 2024-02-07 E. Pastore, A. Alfieri
This article addresses the permutation flowshop scheduling problem with the objective of minimizing the total completion time subject to a makespan constraint. The makespan is related to system uti...
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Topology optimization for cold plate using neural networks as proxy models Eng. Optim. (IF 2.7) Pub Date : 2024-02-07 Zhihao Song, Xintian Liu, Yu Fang, Xu Wang, Shengchao Su
To solve the problems of the high temperature and poor temperature uniformity of lithium batteries, a liquid cooling topology optimization using a neural network as a proxy model is proposed. The r...
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A mathematical tool for road design projects Eng. Optim. (IF 2.7) Pub Date : 2024-02-07 Miguel E. Vázquez-Méndez, Pedro Blanco-Valcarcel, Gerardo Casal, Alberte Castro, Duarte Santamarina
This article introduces a mathematical tool for the semi-automatic design of multiple layout alternatives for a road, and the selection, between all of them, of the most suitable option in each par...
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A 0–1 linear relaxation and stochastic approximation method for real-time pricing in a smart grid with non-convex constraints Eng. Optim. (IF 2.7) Pub Date : 2024-01-28 Li Tao, Zongyao Wang, Xia Su
In this article, real-time pricing (RTP) for a smart grid with complicated non-convex and/or non-smooth constraints is explored. First, piecewise linear functions are adopted to approximate any kin...
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Two-scale minimum compliance optimization of spatially graded plates with variable-height parallelogram microstructures Eng. Optim. (IF 2.7) Pub Date : 2024-01-24 Liang Xu, Tianyu Xiang
This work investigates the two-scale design optimization of graded plates with variable-height parallelogram microstructures based on asymptotic homogenization. First, updated unit cell problems, w...
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Discretization-based solution approaches for the circle packing problem Eng. Optim. (IF 2.7) Pub Date : 2024-01-24 Rabia Taşpınar, Burak Kocuk
The problem of packing a set of circles into the smallest surrounding container is considered. This problem arises in different application areas such as the automobile, textile, food and chemical ...
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Damage assessment in plate structures using an enhanced Jaya algorithm Eng. Optim. (IF 2.7) Pub Date : 2024-01-24 Kamel Belhadj, Ali Helali, Najeh Ben Guedria, Omar Anis Harzallah, Lhassane Idoumghar, Chokri Bouraoui
The article proposes a new method called enhanced Jaya (EJaya) to identify and evaluate damage in plate structures. The method uses a nonlinear optimization task to solve the inverse damage identif...
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Smoothness-oriented motion planning method for milling robot considering workpiece set-up optimization Eng. Optim. (IF 2.7) Pub Date : 2024-01-17 JianJun Yao, Chen Qian, Yun Ke, YiKun Zhang
Robots are attracing increasing attention in the machining field owing to their great flexibility, vast workspace and low cost. Functional redundancy exists when robots are engaged in milling tasks...
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Stress-constrained topology optimization for multi-material thermo-hyperelastic compliant mechanisms based on inverse motion Eng. Optim. (IF 2.7) Pub Date : 2024-01-17 Qianqian Sui, Jun Yan, Zhirui Fan, Zhihui Liu
A stress-constrained topology optimization design for the multi-material thermo-hyperelastic compliant mechanism is investigated in this article, using inverse motion analysis. Through the inverse ...
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A mechanical property prediction system for G-Lattices via machine learning Eng. Optim. (IF 2.7) Pub Date : 2024-01-11 Arash Armanfar, A. Alper Taşmektepligil, Ersan Ustundag, Ismail Lazoglu, Erkan Gunpinar
G-Lattices—a novel family of periodic lattice structures introduced by Arash Armanfar and Erkan Gunpinar—demonstrate diverse mechanical properties owing to their generatively designed shapes. To as...
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Integrated remanufacturing scheduling of disassembly, reprocessing and reassembly considering energy efficiency and stochasticity through group teaching optimization and simulation approaches Eng. Optim. (IF 2.7) Pub Date : 2024-01-04 Yaping Fu, Zhengpei Zhang, Pei Liang, Guangdong Tian, Chaoyong Zhang
The energy crisis and environmental pollution are receiving increasing attention from governments and communities. This study researches energy-aware remanufacturing systems. Remanufacturing aims t...
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Integrating renewable energy sources and electric vehicles in dynamic economic emission dispatch: an oppositional-based equilibrium optimizer approach Eng. Optim. (IF 2.7) Pub Date : 2024-01-04 Jatin Soni, Kuntal Bhattacharjee
This article proposes a solution to the Dynamic Economic Emission Dispatch (DEED) problem, which incorporates wind, solar and plug-in electric vehicles (PEVs) into the optimization challenge. The n...
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Multi-objective optimization of the dynamic performance of a suspended monorail vehicle based on an effective surrogate model Eng. Optim. (IF 2.7) Pub Date : 2024-01-04 Yun Yang, Qinglie He, Chengbiao Cai, Ruoyu Li, Shengyang Zhu
This work presents the multi-objective optimization (MOO) of the dynamic performance of a suspended monorail vehicle (SMV) moving on a curved bridge, based on an effective surrogate model. First, t...
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Integrated optimization for passenger comfort-oriented train timetabling and passenger control strategy on an oversaturated metro line Eng. Optim. (IF 2.7) Pub Date : 2023-12-19 Tong Zhang, Yan Xu, Lishan Sun, Yingda Chen, Chongqi He, Xinwei Wang, Jie Xiong
The excessive travel demand in the metro system during peak hours may cause platform congestion and reduce the comfort of the passengers. Thus, this article proposes an approach for integrally opti...
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Geometric zoning and selective routing for surveillance and coverage operations Eng. Optim. (IF 2.7) Pub Date : 2023-12-19 Mohamed El Yafrani, Deniz Kenan Kılıç, Fabian Miehe, Peter Nielsen
Taking fast action, and effectively utilizing the available resources, are important when conducting time-critical surveillance missions. In addition, the potential complexity of the search, such a...
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Integrated shape-morphing and surrogate model-assisted multi-objective structural optimization of an automobile wheel made of lightweight materials to improve its impact resistance Eng. Optim. (IF 2.7) Pub Date : 2023-12-18 Yue Zhang, Yingchun Shan, Xiandong Liu, Tian He
To address the technical challenge that automobile wheels made of lightweight materials are prone to failure under dynamic impact loads, an integrated multi-objective optimization approach is propo...
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Improved ant colony algorithm for the mixed-model parallel two-sided assembly lines balancing problem Eng. Optim. (IF 2.7) Pub Date : 2023-12-14 Yuling Jiao, Yang Wang, Xue Deng, Xinyue Su, Lujiao Huang
In response to the increasing demand for individualized products in the ‘small-lot, multi-variety’ market, there is an urgent need to enhance the efficiency and intelligence level of assembly lines...
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An adaptive many-objective evolutionary algorithm based on decomposition with two archives and an entropy trigger Eng. Optim. (IF 2.7) Pub Date : 2023-12-11 Li Cao, Maocai Wang, Massimiliano Vasile, Guangming Dai, Huanqin Wu
This article proposes two novel mechanisms to improve the performance of many-objective evolutionary algorithms based on Chebyshev scalarization. One mechanism improves the efficiency and effective...
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A robust ensemble surrogate model and its application in the in situ data modelling and analysis of a combine harvester Eng. Optim. (IF 2.7) Pub Date : 2023-12-07 Jinpeng Hu, Chaoyong Zong, Maolin Shi, Liying Wang, Qiushi Bi, Lizhang Xu
In this article, a robust ensemble model is proposed based on extended adaptive hybrid functions and fuzzy clustering. In the outlier detection stage, each sample is assigned memberships to judge w...
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Prior information-based ellipse fitting optimization method for optical navigation with a short-arc horizon Eng. Optim. (IF 2.7) Pub Date : 2023-12-04 Qichang Qiang, Baojun Lin, Yingchun Liu, Xia Lin
Optical navigation is a key technology in deep-space exploration. Previous studies have struggled to accurately calculate the celestial model in short-arc horizon scenes, greatly reducing navigatio...
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A trajectory tracking method based on robust model predictive control for a bionic ankle–foot aided by a tensegrity mechanism Eng. Optim. (IF 2.7) Pub Date : 2023-12-04 Z. B. Sun, T. T. Heng, L. M. Zhao, S. S. Liu, Y. F. Lian, K. P. Liu
In this article, a robust model predictive control method is investigated for settling the trajectory tracking problem of a bionic ankle–foot aided by a tensegrity mechanism. In order to achieve ad...
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A bi-objective model for aircraft and crew recovery considering individual flight legs and maintenance requirements Eng. Optim. (IF 2.7) Pub Date : 2023-12-04 Mohammadreza Lahooti Eshkevari, Alireza Rashidi Komijan, Vahid Baradaran
This paper proposes a new bi-objective aircraft and crew recovery model. Unlike previous researches, the proposed model considers all individual flight legs in the recovery process. The objective f...
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Lithography reticle scheduling in semiconductor manufacturing Eng. Optim. (IF 2.7) Pub Date : 2023-11-29 Chia-Yen Lee, Cheng-Man Wu, Chia-Yi Hsu, Hui-Hua Xie, Yu-Hsueh Fang
The lithography process in semiconductor dynamic random-access memory (DRAM) fabrication plants (fabs) is usually a major bottleneck, and reticle scheduling is complicated by process-specific constr...
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Integrated optimization of automated guided vehicles and yard cranes considering charging constraints Eng. Optim. (IF 2.7) Pub Date : 2023-11-27 Xiaoju Zhang, Yue Gu, Yuan Tian
To improve the operational efficiency of automated container terminals and the coordination between multiple operations, this article studies the integrated scheduling optimization problem of autom...
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Robot dispatching problem for compact storage and retrieval systems with dual-command transactions Eng. Optim. (IF 2.7) Pub Date : 2023-11-13 Dongjun Cai, Xi Xiang, Loo Hay Lee, Ek Peng Chew, Kok Choon Tan
A robotic compact storage and retrieval system (RCSRS) is a grid-based system that has been popularly implemented by online retailers around the world recently. This article addresses a robot dispa...
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Two-layer heuristic for the three-dimensional bin design and packing problem Eng. Optim. (IF 2.7) Pub Date : 2023-11-13 Ying Yang, Zili Wu, Xiaodeng Hao, Huiqiang Liu, Mingyao Qi
The bin packing problem is a classical problem widely existing in practical applications, such as shipping, warehousing and manufacturing industries. Whereas current research mainly focuses on redu...
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A Lagrangian heuristic for integrated production planning, material ordering and investment multi-project scheduling in a project-driven supply chain Eng. Optim. (IF 2.7) Pub Date : 2023-11-10 Ali Parchami Afra, Amirsaman Kheirkhah
Effective decision making in large project planning presents a significant challenge. Despite progress in developing mathematical models, few studies comprehensively address project and supply-chai...
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Enhanced ant colony algorithm with obstacle avoidance strategy for multi-objective path planning of mobile robots Eng. Optim. (IF 2.7) Pub Date : 2023-10-26 Ke Zhang, Bin Chai, Minghu Tan, Ye Zhang, Jingyu Wang
Path planning with multiple evaluation metrics makes the motion of a robot realistic, but the contradiction between the metrics and the lack of global search and obstacle avoidance capabilities inc...
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On time-indexed formulations for the parallel machine scheduling problem with a common server Eng. Optim. (IF 2.7) Pub Date : 2023-10-24 João Marcos Pereira Silva, Anand Subramanian, Eduardo Uchoa
This article studies the problem of scheduling independent jobs on parallel machines with a common server, the objective of which is to minimize the makespan. In this case, the common server is res...
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An efficient hybrid differential evolution–Jaya algorithm for enhancing vibration behaviour in automotive turbocharger systems Eng. Optim. (IF 2.7) Pub Date : 2023-10-09 Ibrahim Mlaouhi, Najeh Ben Guedria, Chokri Bouraoui
Enhancing the vibration behaviour of rotating systems while meeting conflicting design needs is a difficult task, which is often treated as an inverse issue and formulated as a nonlinear optimizati...