Search Results - "Hybrid multi-objective evolutionary algorithm"

Solution of constrained mixed‐integer multi‐objective optimal power flow problem considering the hybrid multi‐objective evolutionary algorithm by Ali, Aamir, Abbas, Ghulam, Keerio, Muhammad Usman, Koondhar, Mohsin Ali, Chandni, Kiran, Mirsaeidi, Sohrab

“…An Optimal power flow (OPF) is non‐linear and constrained multi‐objective problem. OPF problems are expensive and evolutionary algorithms (EAs) are…”
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A hybrid multi-objective evolutionary algorithm for solving an adaptive flexible job-shop rescheduling problem with real-time order acceptance and condition-based preventive maintenance by An, Youjun, Chen, Xiaohui, Gao, Kaizhou, Zhang, Lin, Li, Yinghe, Zhao, Ziye

“…Production scheduling and maintenance planning are two of the most important tasks in the modern manufacturing workshop. Meanwhile, due to the dynamic order…”
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Two-agent stochastic flow shop deteriorating scheduling via a hybrid multi-objective evolutionary algorithm by Fu, Yaping, Wang, Hongfeng, Tian, Guangdong, Li, Zhiwu, Hu, Hesuan

“… To solve this problem efficiently, this study proposes a hybrid multi-objective evolutionary algorithm which is a combination of an evolutionary algorithm and a local search method…”
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Hybrid multi-objective evolutionary algorithm based on Search Manager framework for big data optimization problems by Abdi, Yousef, Feizi-Derakhshi, Mohammad-Reza

“…Big Data optimization (Big-Opt) refers to optimization problems which require to manage the properties of big data analytics. In the present paper, the Search…”
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A hybrid multi-objective evolutionary algorithm to integrate optimization of the production scheduling and imperfect cutting tool maintenance considering total energy consumption by An, Youjun, Chen, Xiaohui, Zhang, Ji, Li, Yinghe

“…With the increase in awareness of energy conservation and emission reduction in the manufacturing sector, the energy efficiency optimization of the production…”
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Semantic sensor data integration for talent development via hybrid multi‐objective evolutionary algorithm by Luo, Fang, Yang, Ya‐Juan, Geng, Yu‐Cheng

“…In this work, we propose a new hybrid Multi‐Objective Evolutionary Algorithm (hMOEA) specifically designed for semantic sensor data integration, targeting talent development within the burgeoning field of the Semantic Internet of Things…”
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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

“…Emerging Unmanned Aerial Vehicle (UAV) application patterns, including the Loyal Wingman and Unmanned Swarms, have significantly challenged the administration…”
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An effective hybrid multi objective evolutionary algorithm for solving real time event in flexible job shop scheduling problem by Sreekara Reddy, M.B.S., Ratnam, Ch, Rajyalakshmi, G., Manupati, V.K.

“…This paper addresses the multi-objective model for a flexible job shop scheduling problem (FJSSP) to improve the system performance under the condition of…”
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Constrained multi-objective optimization using constrained non-dominated sorting combined with an improved hybrid multi-objective evolutionary algorithm by Ning, Weikang, Guo, Baolong, Yan, Yunyi, Wu, Xianxiang, Wu, Jinfu, Zhao, Dan

“…Constrained multi-objective optimization problems (cMOPs) are complex because the optimizer should balance not only between exploration and exploitation, but…”
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A hybrid multi-objective evolutionary algorithm with feedback mechanism by Lu, Chao, Gao, Liang, Li, Xinyu, Zeng, Bing, Zhou, Feng

“…Exploration and exploitation are two cornerstones for multi-objective evolutionary algorithms (MOEAs). To balance exploration and exploitation, we propose an…”
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Shape optimization of free-form grid structures based on the sensitivity hybrid multi-objective evolutionary algorithm by Wang, Zhicheng, Cao, Zhenggang, Fan, Feng, Sun, Ying

“… The sensitivity hybrid multi-objective evolutionary algorithm (referred to as SH-MOEA) is developed and the shape optimization of the free-form grid structures is carried out based on the developed algorithm…”
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A hybrid multi-objective evolutionary algorithm for wind-turbine blade optimization by Sessarego, M., Dixon, K.R., Rival, D.E., Wood, D.H.

“…A concurrent-hybrid non-dominated sorting genetic algorithm (hybrid NSGA-II) has been developed and applied to the simultaneous optimization of the annual…”
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A novel Hybrid Multi-objective Evolutionary Algorithm for the bi-Objective Minimum Diameter-Cost Spanning Tree (bi-MDCST) problem by Prakash, V. Prem, Patvardhan, C., Srivastav, Anand

“…Given a connected, weighted, undirected graph G = (V, E), the bi-objective Minimum Diameter-Cost Spanning Tree (bi-MDCST) Problem aims to find spanning trees…”
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A hybrid multi-objective evolutionary algorithm for open vehicle routing problem through cluster primary-route secondary approach by Dutta, Joydeep, Barma, Partha Sarathi, Mukherjee, Anupam, Kar, Samarjit, De, Tanmay

“…This study focuses on the cluster primary-route secondary approach to solve the multi-objective open green vehicle routing problem under a sustainable…”
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A Hybrid Multi-Objective Evolutionary Algorithm-Based Semantic Foundation for Sustainable Distributed Manufacturing Systems by Ramakurthi, Veera Babu, Manupati, V. K., Machado, José, Varela, Leonilde

“…Rising energy prices, increasing maintenance costs, and strict environmental regimes have augmented the already existing pressure on the contemporary…”
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A hybrid multi-objective evolutionary algorithm based on NSGA-II for practical scheduling with release times in steel plants by Long, Jianyu, Zheng, Zhong, Gao, Xiaoqiang, Pardalos, Panos M

“… For the solving of the multi-objective optimization, a hybrid multi-objective evolutionary algorithm based on non-dominated sorting genetic algorithm-II (NSGA-II) is proposed…”
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A hybrid multi-objective evolutionary algorithm for solving truck and trailer vehicle routing problems by Tan, K.C., Chew, Y.H., Lee, L.H.

“… windows and availability of trailers. To solve such a multi-objective and multi-modal combinatorial optimization problem, a hybrid multi-objective evolutionary algorithm (HMOEA…”
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Energy-Efficient Scheduling Problem Using an Effective Hybrid Multi-Objective Evolutionary Algorithm by Yin, Lvjiang, Li, Xinyu, Lu, Chao, Gao, Liang

“…Nowadays, manufacturing enterprises face the challenge of just-in-time (JIT) production and energy saving. Therefore, study of JIT production and energy…”
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A Hybrid Multi-Objective Evolutionary Algorithm With Heuristic Adjustment Strategies and Variable Neighbor-Hood Search for Flexible Job-Shop Scheduling Problem Considering Flexible Rest Time by Sun, Xiang, Guo, Shunsheng, Guo, Jun, Du, Baigang

“…). Then a hybrid multi-objective evolutionary algorithm (MOEA) with heuristic adjustment strategies and variable neighborhood search (VNS…”
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Stopping criteria for MAPLS-AW, a hybrid multi-objective evolutionary algorithm by Bhuvana, J., Aravindan, Chandrabose

“…Evolutionary algorithms are widely used to solve multi-objective optimization problems effectively by performing global search over the solution space to find…”
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