Search Results - multifactorial evolution algorithm*

A modified multifactorial differential evolution algorithm with optima-based transformation by 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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A parametric segmented multifactorial evolutionary algorithm based on a three-phase analysis by 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 Three-Layered Multifactorial Evolutionary Algorithm with Parallelization for Large-Scale Engraving Path Planning by Liang, Antian, Yang, Hanshi, Sun, Liming, Sun, Meng

“…); a middle layer, the GA; and a bottom layer, the parallel multifactorial evolutionary algorithm…”
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Multifactorial Differential Evolution Algorithm with Intermediate Population by Zhu, Yiping, Li, Xuyang

“… In order to solve this issue, this article proposes multifactorial differential evolution algorithm with intermediate population (MFDE-IP…”
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An improved adaptive multi-tasking differential evolutionary algorithm with opposition-based learning by Song, Yingjie, Liu, Xidong

“…Multi-task optimization algorithms are widely recognized for their effectiveness in addressing complex problems…”
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Multitask Augmented Random Search in deep reinforcement learning by Thanh, Le Tien, Thang, Ta Bao, Cuong, Le Van, Binh, Huynh Thi Thanh

“… However, most existing RL algorithms are designed to train policies for each environment in isolation, limiting their applicability to real-world scenarios with many related environments…”
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A hybrid multifactorial evolutionary algorithm and firefly algorithm for the clustered minimum routing cost tree problem by Thang, Ta Bao, Binh, Huynh Thi Thanh

“… Many multifactorial evolutionary algorithms have been proposed to solve multiple CluMRCT problems simultaneously…”
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Ensemble Multifactorial Evolution With Biased Skill-Factor Inheritance for Many-Task Optimization by 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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Surrogate-Assisted Task Selection for Evolutionary Multitasking Optimization by Huang, Kaiyuan, Wang, Xiaojun, Cai, Yiqiao

“…In the evolution algorithm, evolutionary multi-task optimization (EMTO) is recently proposed as a novel optimization paradigm for simultaneously solving multiple optimization tasks…”
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Multifactorial evolutionary optimization to maximize lifetime of wireless sensor network by Tam, Nguyen Thi, Dat, Vi Thanh, Lan, Phan Ngoc, Thanh Binh, Huynh Thi, Vinh, Le Trong, Swami, Ananthram

“… We propose MFRSEA, a multifactorial evolutionary algorithm utilizing a network random key representation, a constraint-aware fitness function, and a novel crossover operator in order to optimize…”
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Interactive Multifactorial Evolutionary Optimization Algorithm with Multidimensional Preference Surrogate Models for Personalized Recommendation by Wu, Weidong, Sun, Xiaoyan, Man, Guangyi, Li, Shuai, Bao, Lin

“… the diversity and novelty of recommendations. Motivated by this, an interactive multifactorial evolutionary optimization algorithm with multidimensional preference user surrogate models is proposed here to perform a multi-view optimization…”
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Mutagenic multifactorial evolutionary algorithm based on trait segregation by 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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A bi-level encoding scheme for the clustered shortest-path tree problem in multifactorial optimization by Binh, Huynh Thi Thanh, Thang, Ta Bao, Thai, Nguyen Duc, Thanh, Pham Dinh

“… Recently, some Multifactorial Evolutionary Algorithms (MFEAs) have been introduced to deal with the CluSPT, but these researches still have some shortcomings…”
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Contrastive variational auto-encoder driven convergence guidance in evolutionary multitasking by Wang, Ruilin, Feng, Xiang, Yu, Huiqun

“… To address this research gap, we introduce the MFEA-VC (Multifactorial Evolutionary-Variational Auto-Encoder and Contrastive Learning) algorithm…”
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Multi-objectives design optimization based on multi-objectives Gaussian processes for System-in-Package by Dai, Weijing, Wang, Zhenkun, Xue, Ke

“…Since electronic devices based on System-in-Package technologies become sophisticated, the number of components and the complexity of internal structure of…”
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A Novel Multi-Task Optimization Algorithm Based on the Brainstorming Process by Lyu, Chao, Shi, Yuhui, Sun, Lijun

“… However, most of which are based on the multifactorial evolution framework which has difficulties in independently controlling the optimization of each component task and implementing parallel computing…”
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Multifactorial Evolution: Toward Evolutionary Multitasking by 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 by 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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Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II by Bali, Kavitesh Kumar, Gupta, Abhishek, Ong, Yew-Soon, Tan, Puay Siew

“…Humans have the ability to identify recurring patterns in diverse situations encountered over a lifetime, constantly understanding relationships between tasks…”
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Multifactorial Differential Evolution with Opposition-based Learning for Multi-tasking Optimization by Yu, Yanan, Zhu, Anmin, Zhu, Zexuan, Lin, Qiuzhen, Yin, Jian, Ma, Xiaoliang

“… Based on crossover operator, the classical multifactorial evolutionary algorithm (MFEA) transfers inter-task knowledge…”
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