Search Results - Improved multi-objective genetic algorithm with tabu search

Collaborative multidepot electric vehicle routing problem with time windows and shared charging stations by Wang, Yong, Zhou, Jingxin, Sun, Yaoyao, Fan, Jianxin, Wang, Zheng, Wang, Haizhong

“…Logistics distribution using electric vehicles (EVs) is gradually becoming popular in urban logistics networks with the promise of carbon peak and carbon…”
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A tabu search based algorithm for the optimal design of multi-objective multi-product supply chain networks by Mohammed, Awsan M., Duffuaa, Salih O.

“…•Large scale multi-objectives supply networks poses computational challenges.•An effective tabu search algorithm is developed, designed, coded and tested…”
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Multi-objective scheduling of heterogeneous parallel systems using the VITS algorithm by Bakhoda, Saeedeh, Abdollahi Azgomi, Mohammad, Ebrahimi Dishabi, Mohammad Reza

“… This study addresses this issue and investigates multi-objective scheduling in heterogeneous parallel environments regarding processing speed and cost…”
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Sports Competition System Arrangement Based on an Improved Multi-Objective Optimization Algorithm by Wang, Feng, Li, Zhengchang

“…This research suggests a flexible scheduling method for professional athletic events that hybridizes the tabu search with the genetic algorithms, resulting in a significant improvement…”
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An improved island model memetic algorithm with a new cooperation phase for multi-objective job shop scheduling problem by Kurdi, Mohamed

“…•Computational results validate the effectiveness and robustness of the proposed algorithm. This work proposes an improved island model memetic algorithm with a new naturally inspired cooperation phase (IIMMA…”
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Path-relinking Tabu search for the multi-objective flexible job shop scheduling problem by Jia, Shuai, Hu, Zhi-Hua

“…The multi-objective flexible job shop scheduling problem is solved using a novel path-relinking algorithm based on the state-of-the-art Tabu search algorithm with back-jump tracking…”
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Multi-Objective Multi-Exemplar Particle Swarm Optimization Algorithm With Local Awareness by Noori, Mustafa Sabah, Sahbudin, Ratna K. Z., Sali, Aduwati, Hashim, Fazirulhisyam

“… Multi-Objective Optimization (MOO) algorithms play a crucial role in this process by enabling them to navigate these trade-offs effectively…”
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Minimizing total carbon footprint and total late work criterion in flexible job shop scheduling by using an improved multi-objective genetic algorithm by Piroozfard, Hamed, Wong, Kuan Yew, Wong, Wai Peng

“…•An improved multi-objective genetic algorithm is proposed to solve the presented bi-objective optimization problem…”
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An effective hybrid discrete grey wolf optimizer for the casting production scheduling problem with multi-objective and multi-constraint by Qin, Hongbin, Fan, Pengfei, Tang, Hongtao, Huang, Pan, Fang, Bo, Pan, Shunfa

“…•A new hybrid discrete multi-objective grey wolf optimizer is proposed.•A novel population initialization strategy is presented…”
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A dynamic task allocation framework for human-robot collaborative assembly based on digital twin and IGA-TS by Gao, Zenggui, Tang, Jingwei, Lu, Hongjiang, Yao, Yuyan, Cao, Xinjie, Yu, Chunyang, Liu, Lilan

“… To address these, this paper propose a digital twin-driven decision-making approach for task allocation, using an Improved Genetic Algorithm with Tabu Search (IGA-TS…”
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Development and application of a master-slave parallel hybrid multi-objective evolutionary algorithm for groundwater remediation design by Yang, Yun, Wu, Jianfeng, Sun, Xiaomin, Wu, Jichun, Zheng, Chunmiao

“…), in which the global search ability of niched Pareto tabu search (NPTS) is improved by the diversification of candidate solutions that arose from the evolving population of nondominated sorting genetic algorithm-II (NSGA-II…”
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Application of case-based reasoning-Tabu search hybrid algorithm for rolling schedule optimization in tandem cold rolling by Bu, He-nan, Yan, Zhu-wen, Zhang, Dian-Hua

“… Design/methodology/approach A case-based reasoning–Tabu search hybrid algorithm (CBRTS) has been presented. First, the case-based reasoning technology was adopted…”
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Online energy management optimization of hybrid energy storage microgrid with reversible solid oxide cell: A model-based study by Zhou, Yihuan, Xia, Zhiping, Liu, Xingbo, Deng, Zhonghua, Fu, Xiaowei, Kupecki, Jakub, Jin, Bing, Li, Xi

“… Subsequently, the optimal energy management (OEM) is formulated as a multi-objective optimization problem based on the constructed model…”
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Two-sided matching decision-making model for complex product system based on life-cycle sustainability assessment by Jiang, Peng, Guo, Shunsheng, Du, Baigang, Guo, Jun

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A Hybrid Multi-Objective Evolutionary Algorithm for Optimal Groundwater Management under Variable Density Conditions by Yun, YANG, Jianfeng, WU, Xiaomin, SUN, Jin, LIN, Jichun, WU

“…In this paper, a new hybrid multi-objective evolutionary algorithm （MOEA）, the niched Pareto tabu search combined with a genetic algorithm （NPTSGA…”
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A decomposition-based multi-objective genetic programming hyper-heuristic approach for the multi-skill resource constrained project scheduling problem by Zhu, Lei, Lin, Jian, Li, Yang-Yuan, Wang, Zhou-Jing

“…In this paper, an efficient decomposition-based multi-objective genetic programming hyper-heuristic (MOGP-HH/D…”
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Multi-UAVs Cooperative Detection Based on Improved NSGA-II Algorithm by Cong, Rui, Qi, Juntong, Wu, Chong, Wang, Mingming, Guo, Jinjin

“…This paper proposes an improved (TS-NSGA-II) algorithm based on non-dominated sorted genetic algorithm-II (NSGA-II…”
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An improved non-dominated sorting biogeography-based optimization algorithm for the (hybrid) multi-objective flexible job-shop scheduling problem by An, Youjun, Chen, Xiaohui, Li, Yinghe, Han, Yaoyao, Zhang, Ji, Shi, Haohao

“…) multi-objective flexible job-shop scheduling problem, widely existing in the real-life manufacturing systems, is one of the NP-hard problems in various scheduling problems…”
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A Genetic Algorithm and Tabu Search for Multi Objective Flexible Job Shop Scheduling Problems by Guohui Zhang, Liang Gao, Yang Shi

“… An improved genetic algorithm combined with tabu search is proposed to solve the multi objective FJSP in this paper…”
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An improved particle swarm optimization with decline disturbance index (DDPSO) for multi-objective job-shop scheduling problem by Zhao, Fuqing, Tang, Jianxin, Wang, Junbiao, Jonrinaldi

“…As same with many evolutional algorithms, performance of simple PSO depends on its parameters, and it often suffers the problem of being trapped in local optima so as to cause premature convergence…”
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