Suchergebnisse - multifactorial (evolutionary OR evolution) algorithm

Multifactorial Evolution: Toward Evolutionary Multitasking von Gupta, Abhishek, Yew-Soon Ong, Liang Feng

“… The design of evolutionary algorithms has typically been focused on efficiently solving a single optimization problem at a time …”
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A Multifactorial Evolutionary Algorithm for Multitasking Under Interval Uncertainties von Yi, Jun, Bai, Junren, He, Haibo, Zhou, Wei, Yao, Lizhong

“… time. Inspired by the multifactorial evolutionary algorithm (MFEA), a novel interval MFEA (IMFEA) is proposed to solve IMOOPs simultaneously using a single population of evolving individuals …”
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Multifactorial optimization via explicit multipopulation evolutionary framework von Li, Genghui, Lin, Qiuzhen, Gao, Weifeng

“… Multifactorial Optimization (MFO) has attracted considerable attention in the community of evolutionary computation, which aims to deal with multiple optimization tasks simultaneously by information transfer …”
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Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II von Bali, Kavitesh Kumar, Gupta, Abhishek, Ong, Yew-Soon, Tan, Puay Siew

“… Recently, the notion of evolutionary multitasking has been explored as a means of solving multiple optimization tasks simultaneously using a single population of evolving individuals …”
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Mutagenic multifactorial evolutionary algorithm based on trait segregation von Yao, Lizhong, Chen, Jia, Wang, Ling, Yin, Tao, Li, Rui

“… Inspired by this principle, this paper proposes a mutagenic multifactorial evolutionary algorithm based on trait segregation (M-MFEA …”
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Helper objective-based multifactorial evolutionary algorithm for continuous optimization von Yang, Xu, Li, Wenhua, Wang, Rui, Yang, Kang

“… To this end, in this work, a helper problem (objective function) is proposed to assist evolutionary algorithms (EAs …”
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Multifactorial Evolutionary Algorithm With Online Transfer Parameter Estimation: MFEA-II von Bali, Kavitesh Kumar, Ong, Yew-Soon, Gupta, Abhishek, Tan, Puay Siew

“… Humans rarely tackle every problem from scratch. Given this observation, the motivation for this paper is to improve optimization performance through adaptive …”
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Knowledge Transfer-Based Multifactorial Evolutionary Algorithm for Selective Maintenance Optimization of Multistate Complex Systems von Xu, Yue, Pi, Dechang, Yang, Shengxiang, Zio, Enrico

“… This article focuses on multitask selective maintenance (SM) for multistate complex systems, with the goal of selecting subsets of feasible maintenance actions …”
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Multifactorial Evolutionary Algorithm Based on Diffusion Gradient Descent von Liu, Zhaobo, Li, Guo, Zhang, Haili, Liang, Zhengping, Zhu, Zexuan

“… The multifactorial evolutionary algorithm (MFEA) is one of the most widely used evolutionary multitasking (EMT) algorithms …”
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A modified multifactorial differential evolution algorithm with optima-based transformation von Shi, Lingyi, Hu, Zhongbo, Su, Qinghua, Miao, Yongfei

“… Multifactorial evolution algorithm (MFEA) is a powerful search paradigm with the purpose of addressing multiple optimization tasks simultaneously in the field of evolutionary computation …”
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Ensemble Multifactorial Evolution With Biased Skill-Factor Inheritance for Many-Task Optimization von Huynh Thi Thanh, Binh, Van Cuong, Le, Thang, Ta Bao, Long, Nguyen Hoang

“… This article proposes an algorithm named ensemble multifactorial evolution with biased skill-factor inheritance (EME-BI …”
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Adaptive archive-based multifactorial evolutionary algorithm for constrained multitasking optimization von Xing, Caixiao, Gong, Wenyin, Li, Shuijia

“… In this paper, an adaptive archive-based multifactorial evolutionary algorithm is proposed to solve constrained multitasking optimization problems …”
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A parametric segmented multifactorial evolutionary algorithm based on a three-phase analysis von Chai, Peihua, Cao, Langcai, Xu, Ridong, Zeng, Yifeng

“… Existing Multifactorial Evolutionary Algorithms (MFEA) are quite dependent on the synergy among the tasks …”
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A Multivariation Multifactorial Evolutionary Algorithm for Large-Scale Multiobjective Optimization von Feng, Yinglan, Feng, Liang, Kwong, Sam, Tan, Kay Chen

“… For solving large-scale multiobjective problems (LSMOPs), the transformation-based methods have shown promising search efficiency, which varies the original …”
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A Multi-Stage Differential-Multifactorial Evolutionary Algorithm for Ingredient Optimization in the Copper Industry von Zhang, Xuerui, Han, Zhongyang, Zhao, Jun

“… -multifac-torial evolution algorithm is developed. In the proposed algorithm, the differential …”
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Multifactorial differential evolution enhanced by adaptive Gaussian-mixture-model-based knowledge transfer von Wang, Yan, Luo, Guoxing, Li, Xiaodong, Wang, Lei, Qi, Yutao, Ma, Xiaoliang

“… Although the multifactorial evolutionary algorithm (MFEA), a representative EMTO algorithm, has achieved some success, it often suffers from slow convergence and negative knowledge transfer, especially when the similarity among tasks is low …”
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Evolutionary algorithm and multifactorial evolutionary algorithm on clustered shortest-path tree problem von Hanh, Phan Thi Hong, Thanh, Pham Dinh, Binh, Huynh Thi Thanh

“… Previous studies focus on approximation algorithms which search for an optimal solution in relatively large space …”
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A hybrid multifactorial evolutionary algorithm and firefly algorithm for the clustered minimum routing cost tree problem von Thang, Ta Bao, Binh, Huynh Thi Thanh

“… Many multifactorial evolutionary algorithms have been proposed to solve multiple CluMRCT problems simultaneously …”
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A Multiobjective multifactorial optimization algorithm based on decomposition and dynamic resource allocation strategy von Yao, Shuangshuang, Dong, Zhiming, Wang, Xianpeng, Ren, Lei

“… •A dynamic resource allocation strategy with multifactorial environment is proposed.•The proposed algorithm performs superior on a variety of benchmark MO-MFO problems …”
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Enhanced Multifactorial Evolutionary Algorithm With Meme Helper-Tasks von Ma, Xiaoliang, Yin, Jian, Zhu, Anmin, Li, Xiaodong, Yu, Yanan, Wang, Lei, Qi, Yutao, Zhu, Zexuan

“… The effectiveness of intertask knowledge transfer is the key to the success of EMT. The multifactorial evolutionary algorithm (MFEA …”
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