Suchergebnisse - decomposition-based optimization algorithm

H-polytope decomposition-based algorithm for continuous optimization von Khodabandelou, Ghazaleh, Nakib, Amir

“… This paper presents a new fractal search space decomposition-based algorithm to address the issue of scaling up the divide and conquer approach to deal with large scale problems …”
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A decomposition-based iterative optimization algorithm for traveling salesman problem with drone von Es Yurek, Emine, Ozmutlu, H. Cenk

“… •An iterative algorithm is developed by decomposing the TSP-D into two stages.•We can solve the uniform instances with 12 customers within 15 min on average …”
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Many-to-Few Decomposition: Linking R2-Based and Decomposition-Based Multiobjective Efficient Global Optimization Algorithms von Zhao, Liang, Huang, Xiaobin, Qian, Chao, Zhang, Qingfu

“… In multiobjective optimization, the R2 indicator is widely used for designing the indicator-based algorithms, and the Tchebycheff approach is commonly employed in the decomposition-based algorithms …”
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Effect of Objective Normalization and Penalty Parameter on Penalty Boundary Intersection Decomposition-Based Evolutionary Many-Objective Optimization Algorithms von Chen, Lei, Deb, Kalyanmoy, Liu, Hai-Lin, Zhang, Qingfu

“… For the decomposition-based EMO/EMaO algorithms involving the Penalty Boundary Intersection (PBI) metric, normalization is an important matter due to the computation of two distance metrics …”
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A problem transformation-based and decomposition-based evolutionary algorithm for large-scale multiobjective optimization von Xiong, Zhijian, Wang, Xiaojing, Li, Yu, Feng, Wei, Liu, Yashuang

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Decomposition-Based Multiobjective Optimization Algorithms With Adaptively Adjusting Weight Vectors and Neighborhoods von Zhao, Qian, Guo, Yinan, Yao, Xiangjuan, Gong, Dunwei

“… The decomposition-based multiobjective optimization algorithm (MOEA/D) is an effective method of solving a multiobjective optimization problem (MOP …”
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Adaptive variational mode decomposition based on Archimedes optimization algorithm and its application to bearing fault diagnosis von Wang, Junxiang, Zhan, Changshu, Li, Sanping, Zhao, Qiancheng, Liu, Jiuqing, Xie, Zhijie

“… ) is widely used in rotating machinery fault diagnosis. However, the choice of its main parameters is often based on experience, affecting the decomposition results …”
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Enhancing Multi-Objective Optimization: A Decomposition-Based Approach Using the Whale Optimization Algorithm von Ramos-Frutos, Jorge, Casas-Ordaz, Angel, Zapotecas-Martínez, Saúl, Oliva, Diego, Valdivia-González, Arturo, García-Nájera, Abel, Pérez-Cisneros, Marco

“… Among these, the Whale Optimization Algorithm (WOA) has garnered significant attention …”
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A Decomposition-Based Evolutionary Algorithm for Many Objective Optimization von Asafuddoula, M., Ray, Tapabrata, Sarker, Ruhul

“… Decomposition-based evolutionary algorithms have been quite successful in solving optimization problems involving two and three objectives …”
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A multi-objective Chaos Game Optimization algorithm based on decomposition and random learning mechanisms for numerical optimization von Yacoubi, Salma, Manita, Ghaith, Chhabra, Amit, Korbaa, Ouajdi, Mirjalili, Seyedali

“… Chaos Game Optimization (CGO) is a heuristic optimization approach that estimates global optima for optimization problems using operators based on chaos theory …”
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An adaptive variational mode decomposition based on sailfish optimization algorithm and Gini index for fault identification in rolling bearings von Nassef, M.G.A., Hussein, Taha M., Mokhiamar, Ossama

“… This paper presents a framework using sailfish optimization (SFO) algorithm and Gini index (GI …”
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A Framework to Handle Multimodal Multiobjective Optimization in Decomposition-Based Evolutionary Algorithms von Tanabe, Ryoji, Ishibuchi, Hisao

“… While decomposition-based evolutionary algorithms have good performance for multiobjective optimization, they are likely to perform poorly for multimodal multiobjective optimization due to the lack …”
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Numerical benchmarking of dual decomposition-based optimization algorithms for distributed model predictive control von Yfantis, Vassilios, Wagner, Achim, Ruskowski, Martin

“… This paper presents a benchmark study of dual decomposition-based distributed optimization algorithms applied to constraint-coupled model predictive control problems …”
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Intelligent Black–Litterman Portfolio Optimization Using a Decomposition-Based Multi-Objective DIRECT Algorithm von Li, Chen, Chen, Yidong, Yang, Xueying, Wang, Zitian, Lu, Zhonghua, Chi, Xuebin

“… It is agreed that portfolio optimization is of great importance for the financial market …”
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An adaptive decomposition-based evolutionary algorithm for many-objective optimization von Han, Dong, Du, Wenli, Du, Wei, Jin, Yaochu, Wu, Chunping

“… This paper proposes an adaptive decomposition-based evolutionary algorithm for many-objective optimization, which introduces one adaptation mechanism for PBI-based decomposition and the other …”
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Decomposition-based evolutionary algorithm with dual adjustments for many-objective optimization problems von Zhao, Chunliang, Zhou, Yuren, Hao, Yuanyuan

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New integer optimization models and decomposition-based algorithms for the multi-agent pathfinding problem with time-spacing constraints von Oh, Seyoung, Lee, Kyungsik

“… This paper examines MAPF-TS through the lens of integer optimization. We prove that some behaviors of agents that may appear in a solution are unnecessary in terms of feasibility and optimality …”
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Variable-Length Pareto Optimization via Decomposition-Based Evolutionary Multiobjective Algorithm von Li, Hui, Deb, Kalyanmoy, Zhang, Qingfu

“… ). So far, some research efforts have been done on the use of evolutionary algorithms (EAs) for solving single objective variable-length optimization problems …”
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A Parameterless Penalty Rule-Based Fitness Estimation for Decomposition-Based Many-Objective Optimization Evolutionary Algorithm von Liu, Junhua, Wang, Yuping, Wei, Shiwei, Wu, Xiangjuan, Tong, Wuning

“… Many-objective optimization problems (MaOPs) present a huge challenge to the traditional Pareto-based multi-objective algorithms because the increase …”
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A generalized Benders decomposition-based algorithm for heat conduction optimization and inverse design von Zhao, Tian, Sun, Qing-Han, Xin, Yong-Lin, Chen, Qun

“… ’ interest unceasingly. Here we present an alternative heat conduction optimization algorithm on the basis of generalized Benders decomposition technique …”
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