A Coevolutionary Algorithm Based on Constraints Decomposition for Constrained Multi-objective Optimization Problems by Guangpeng Li, Li Li, Guoyong Cai

Subjects: “…Constrained multi-objective optimization problems…”
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A Hybrid Optimization Algorithm for a Multi-Objective Aircraft Loading Problem With Complex Constraints by Boliang Zhang, Yu Yao, H. Y. Kan, Mei-Pou Chan, Chan-Tong Lam, Sio-Kei Im

“…Existing solutions are monolithic and cannot optimize multiple performance simultaneously. In this paper, we propose a Hybrid Optimization Algorithm for Multi-objective Problems with Complex Constraints (HybridMOCC) to solve the aircraft loading problem. …”
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Feedback Tracking Constraint Relaxation Algorithm for Constrained Multi-Objective Optimization by Yuling Lai, Junming Chen, Yile Chen, Hui Zeng, Jialin Cai

“…In practical applications, constrained multi-objective optimization problems (CMOPs) often fail to achieve the desired results when dealing with CMOPs with different characteristics. …”
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A Preference Model-Based Surrogate-Assisted Constrained Multi-Objective Evolutionary Algorithm for Expensively Constrained Multi-Objective Problems by Yu Sun, Yifan Ma, Bei Hua

“…In the context of expensive constraint multi-objective problems, it is evident that the feasible domain shapes and sizes of different problems vary considerably. …”
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Multi-period and multi-objective stock portfolio modeling considering cone constraints by Masoomeh Zeinalnezhad, Zohreh Ebrahimi, Towhid Pourrostam

“…This paper modifies and optimizes a multi-objective and multi-period stock portfolio considering cone constraints and uncertain and stochastic discrete decisions. …”
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A Novel Genetic Algorithm for Constrained Multimodal Multi-Objective Optimization Problems by Da Feng, Jianchang Liu

“…This paper proposes a multitasking-based genetic algorithm (MTGA-CMMO) to solve constrained multimodal multi-objective optimization problems (CMMOPs). In MTGA-CMMO, the main task is assisted by two auxiliary tasks to obtain all the feasible Pareto solution sets. …”
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A Novel Optimization Algorithm Inspired by Egyptian Stray Dogs for Solving Multi-Objective Optimal Power Flow Problems by Mohamed H. ElMessmary, Hatem Y. Diab, Mahmoud Abdelsalam, Mona F. Moussa

“…One of the most important issues that can significantly affect the electric power network’s ability to operate sustainably is the optimal power flow (OPF) problem. It involves reaching the most efficient operating conditions for the electrical networks while maintaining reliability and systems constraints. …”
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A neo-cooperation search based evolutionary algorithm for multi-objective electric rope shovel production scheduling by Jue Zhang, Haifeng Yue, Yongpeng Wang, Ruhan Guo, Shuai Shao

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Advanced Vehicle Routing for Electric Fleets Using DPCGA: Addressing Charging and Traffic Constraints by Yuehan Zheng, Hao Chang, Peng Yu, Taofeng Ye, Ying Wang

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Mcaaco: a multi-objective strategy heuristic search algorithm for solving capacitated vehicle routing problems by Yanling Chen, Jingyi Wei, Tao Luo, Jie Zhou

“…Combined with pheromone updating and Pareto front-end optimization, the method effectively resolves the conflict between vehicle capacity constraints and multi-objective optimization. …”
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Quantum-Inspired Hyperheuristic Framework for Solving Dynamic Multi-Objective Combinatorial Problems in Disaster Logistics by Kassem Danach, Hassan Harb, Louai Saker, Ali Raad

“…In this context, we propose a novel Quantum-Inspired Hyperheuristic Framework (QHHF) designed to solve Dynamic Multi-Objective Combinatorial Optimization Problems (DMOCOPs) arising in disaster relief operations. …”
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Green vehicle routing optimization based on dynamic constraint selection co-evolutionary algorithm by Lu-jie Zhou, Hai-fei Zhang, Jun-hao Fu

“…Abstract Aiming at the problems of single solution objective in the existing green vehicle routing optimization process and real-time speed change during vehicle travel, a multi-objective green vehicle routing problem with time window constraints in time-varying conditions(MOGVRPTW-TV) is established, then a co-evolutionary framework-based constrained multi-objective evolutionary algorithm for the solving of the model is proposed. …”
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Simulation-based deep reinforcement learning for multi-objective identical parallel machine scheduling problem by Sohyun Nam, Young-in Cho, Jong Hun Woo

“…In the shipbuilding industry, traditional optimization studies based on linear programming and constraint programming have been conducted to solve mid-term or long-term scheduling problems. …”
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Modeling and Solving the Knapsack Problem with a Multi-Objective Equilibrium Optimizer Algorithm Based on Weighted Congestion Distance by Ziqian Wang, Xin Huang, Yan Zhang, Danju Lv, Wei Li, Zhicheng Zhu, Jian’e Dong

“…Considering the discrete characteristics of the knapsack combination optimization problem, our algorithm also incorporates appropriate discrete constraint handling. …”
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A Multi-Objective Decision-Making Method for Optimal Scheduling Operating Points in Integrated Main-Distribution Networks with Static Security Region Constraints by Kang Xu, Zhaopeng Liu, Shuaihu Li

“…Thereby, using the traditional hierarchical economic scheduling method makes it difficult to accurately find the optimal scheduling operating point. To address this problem, this paper proposes a multi-objective dispatch decision-making optimization model for the IMDN with static security region (SSR) constraints. …”
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A multi-objective supply chain optimization model for reliable remanufacturing problems with M/M/m/k queues by Vahid Hajipour, Shermineh Hadad Kaveh, Fatih Yiğit, Ali Gharaei

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A multi-objective optimized OLSR routing protocol. by Wenhong Wei, Huijia Wu, Ying He, Qingxia Li

“…In order to solve the problem that the better node set may not be selected when selecting the node set responsible for forwarding in the traditional OLSR protocol, a multi-objective optimized OLSR algorithm is proposed in this paper, which incorporating a new MPR mechanism and an improved NSGA-II algorithm. …”
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Optimization of order allocation problem in a multiple buyer-supplier network: a multi-objective and multi-criteria approach by Thalles Vitelli Garcez, Marcella Maia Urtiga, Helder Tenório Cavalcanti, José Marcelo Severino da Silva Filho, Thárcylla Rebecca Negreiros Clemente, Renata Maciel de Melo, Cristina Pereira Medeiros

“…The proposed model integrates the Multi-Attribute Utility Theory (MAUT) with Compromise Programming (CP), a multi-objective optimization technique. Utility functions were elicited to capture individual preferences, and an aggregation process was employed to support collective decision-making. …”
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Screw Conveyor Rotor Multi-objective Optimization Design by ZHANG Yuan, JIANG Xiao-han, FAN Hua-ping, LI Xi-han

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Two TOPSIS-Based Approaches for Multi-Choice Rough Bi-Level Multi-Objective Nonlinear Programming Problems by Mohamed A. El Sayed, Farahat A. Farahat, Mohamed A. Elsisy, Maazen Alsabaan, Mohamed I. Ibrahem, Haitham Elwahsh

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