Search Results - multi-objective combinatorial optimization problems and evolution methods

Multi-Objective Neural Evolutionary Algorithm for Combinatorial Optimization Problems by Shao, Yinan, Lin, Jerry Chun-Wei, Srivastava, Gautam, Guo, Dongdong, Zhang, Hongchun, Yi, Hu, Jolfaei, Alireza

“…) for combinatorial optimization problems. The proposed MONEADD is an end-to-end algorithm that utilizes genetic operations and rewards signals to evolve neural networks for different combinatorial optimization problems without further engineering…”
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Bi-goal evolution for many-objective optimization problems by Li, Miqing, Yang, Shengxiang, Liu, Xiaohui

“…), to deal with multi-objective optimization problems with many objectives. In multi-objective optimization, it is generally observed that 1…”
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Dynamic constrained multi-objective optimization based on adaptive combinatorial response mechanism by Aliniya, Zahra, Khasteh, Seyed Hossein

“…In dynamic multi-objective optimization problems (DMOPs), objective functions, problem parameters, and constraints may change over time…”
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A hybrid multi-objective evolutionary algorithm with high solving efficiency for UAV defense programming by Bai, Zhenzu, Zhou, Haiyin, Shi, Jianmai, Xing, Lining, Wang, Jiongqi

“… This paper introduces a modified differential evolution based on a new mapping method called Pareto-Optimal-Matching that solves multi-objective binary optimization problems and constructs a 3…”
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A Bi-Population Co-Evolutionary Multi-Objective Optimization Algorithm for Production Scheduling Problems in a Metal Heat Treatment Process with Time Window Constraints by Gu, Jiahui, Liu, Boheng, Zhao, Ziyan

“… Most multi-objective optimization algorithms rely on the evolution of a single population, which makes them prone to premature convergence, leading to local optimal solutions and insufficient…”
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Modeling and Solving the Knapsack Problem with a Multi-Objective Equilibrium Optimizer Algorithm Based on Weighted Congestion Distance by Wang, Ziqian, Huang, Xin, Zhang, Yan, Lv, Danju, Li, Wei, Zhu, Zhicheng, Dong, Jian’e

“…The knapsack problem is a typical bi-objective combinatorial optimization issue, wherein maximizing the value of the packed items is achieved concurrently with minimizing the weight of the load…”
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An elitist cooperative evolutionary bi-level multi-objective decomposition-based algorithm for sustainable supply chain by Abbassi, Malek, Chaabani, Abir, Absi, Nabil, Ben Said, Lamjed

“… For this reason, the Multi-objective variant (MBLOP) remains relatively less explored and the number of methods tackling the combinatorial case is much reduced…”
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Multi-Objective Optimization for Bandwidth-Limited Federated Learning in Wireless Edge Systems by Zhou, Yu, Liu, Xuemei, Lei, Lei

“… To this end, we formulate a multi-objective optimization problem (MOP). In MOP, the model training convergence is difficult to calculate accurately…”
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An evolution strategies-based reinforcement learning algorithm for multi-objective dynamic parallel machine scheduling problems by Chen, Yarong, Zhang, Junjie, Mumtaz, Jabir, Huang, Shenquan, Zhou, Shengwei

“…•Action with selecting a job directly to be sequenced is used to avoid sparse reward.•Parallel machine scheduling problem with multi-objective MILP model…”
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Elephant Herding Optimization: Variants, Hybrids, and Applications by Li, Juan, Lei, Hong, Alavi, Amir H., Wang, Gai-Ge

“… Various aspects of the EHO variants for continuous optimization, combinatorial optimization, constrained optimization, and multi-objective optimization are reviewed…”
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An overview of population-based algorithms for multi-objective optimisation by Giagkiozis, Ioannis, Purshouse, Robin C., Fleming, Peter J.

“… Although not exact in the mathematical sense, it has long been recognised that population-based multi-objective optimisation techniques for real-world applications are immensely valuable and versatile…”
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Exploring the runtime of an evolutionary algorithm for the multi-objective shortest path problem by Horoba, Christian

“…We present a natural vector-valued fitness function f for the multi-objective shortest path problem, which is a fundamental multi-objective combinatorial optimization problem known to be NP-hard…”
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A Strengthened Dominance Relation NSGA-III Algorithm Based on Differential Evolution to Solve Job Shop Scheduling Problem by Zeng, Liang, Shi, Junyang, Li, Yanyan, Wang, Shanshan, Li, Weigang

“…The job shop scheduling problem is a classical combinatorial optimization challenge frequently encountered in manufacturing systems…”
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Multi-objective multi-mode resource-constrained project scheduling with fuzzy activity durations in prefabricated building construction by Yuan, Yisong, Ye, Sudong, Lin, Lin, Gen, Mitsuo

“…•We formulate a multiobjective MRCPSP with fuzzy activities in PB construction.•We construct the interval value of the execution time to express it by fuzzy…”
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Evolutionary Algorithm based on simulated annealing for the multi-objective optimization of combinatorial problems by Nino Ruiz, Elias David, Parra, Henry Nieto, Chinchilla Camargo, Anangelica Isabel

“…This paper states a novel hybrid-metaheuristic based on the Theory of Deterministic Swapping, Theory of Evolution and Simulated Annealing Metaheuristic for the multi-objective optimization of combinatorial problems…”
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A synergy of binary differential evolution and binary local search optimizer to solve multi-objective profit based unit commitment problem by Dhaliwal, Jatinder Singh, Dhillon, J.S.

“…Environmentally constrained profit based unit commitment problem (PBUCP) is a combinatorial multi-objective optimization problem experienced in deregulated…”
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A Hybrid Multi-Objective Crisscross Optimization for Dynamic Economic/Emission Dispatch Considering Plug-In Electric Vehicles Penetration by Mei, Panpan, Wu, Lianghong, Zhang, Hongqiang, Liu, Zhenzu

“…) on DEED problem are discussed. The problem to be solved…”
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Non-dominated Sorting Tournament Genetic Algorithm for Multi-Objective Travelling Salesman Problem by Myszkowski, Pawel B., Laszczyk, Maciej, Dziadek, Kamil

“… In this paper, it is shown, that proposed approach solves multi-objective TSP (mTSP) more effectively than other investigated methods, i.e…”
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Evolutionary hyper-heuristics for tackling bi-objective 2D bin packing problems by Gomez, Juan Carlos, Terashima-Marín, Hugo

“…In this article, a multi-objective evolutionary framework to build selection hyper-heuristics for solving instances of the 2D bin packing problem is presented…”
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Configuration space evolutionary algorithm for multi-objective unequal-area facility layout problems with flexible bays by Liu, Jingfa, Liu, Siyu, Liu, Zhaoxia, Li, Bi

“…Facility layout problem (FLP) which deals with the layout of facilities within a given plant floor is an NP-hard combinatorial optimization problem…”
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