Suchergebnisse - Distributed evolutionary algorithms

Biological invasion–inspired migration in distributed evolutionary algorithms von De Falco, I., Della Cioppa, A., Maisto, D., Scafuri, U., Tarantino, E.

“… Migration strategy plays an important role in designing effective distributed evolutionary algorithms …”
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Edge-Cloud Co-Evolutionary Algorithms for Distributed Data-Driven Optimization Problems von Guo, Xiao-Qi, Chen, Wei-Neng, Wei, Feng-Feng, Mao, Wen-Tao, Hu, Xiao-Min, Zhang, Jun

“… Surrogate-assisted evolutionary algorithms (EAs) have been proposed in recent years to solve data-driven optimization problems …”
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Distributed Co-Evolutionary Memetic Algorithm for Distributed Hybrid Differentiation Flowshop Scheduling Problem von Zhang, Guanghui, Liu, Bo, Wang, Ling, Yu, Dengxiu, Xing, Keyi

“… ) for DHDFSP is expected. To achieve this, we propose a general EA framework called distributed co-evolutionary memetic algorithm (DCMA …”
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QoS‐aware big service composition using distributed co‐evolutionary algorithm von Dutta, Avik, Jatoth, Chandrashekar, Gangadharan, G. R., Fiore, Ugo

“… ‐evolutionary algorithm. In our proposed model, we develop a distributed NSGA‐III for finding the optimal Pareto front and a distributed multi …”
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Distributed evolutionary algorithms and their models: A survey of the state-of-the-art von Gong, Yue-Jiao, Chen, Wei-Neng, Zhan, Zhi-Hui, Zhang, Jun, Li, Yun, Zhang, Qingfu, Li, Jing-Jing

“… [Display omitted] •Provide an updated and systematic review of distributed evolutionary algorithms …”
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A diversity-driven migration strategy for distributed evolutionary algorithms von Araujo, Jean N.R., Batista, Lucas S.

“… Distributed models have been successfully employed by many evolutionary algorithms (EAs) to deal with these challenges …”
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Large scale flexible scheduling optimization by a distributed evolutionary algorithm von Sun, Lu, Lin, Lin, Li, Haojie, Gen, Mitsuo

“… •A distributed cooperative evolutionary algorithm (dcEA) is proposed.•dcEA is applied to Apache Spark to reduce the computational complexity …”
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Software review: DEAP (Distributed Evolutionary Algorithm in Python) library von Kim, Jinhan, Yoo, Shin

“… We give a critical assessment of the DEAP (Distributed Evolutionary Algorithm in Python …”
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An Effective Cooperative Co-Evolutionary Algorithm for Distributed Flowshop Group Scheduling Problems von Pan, Quan-Ke, Gao, Liang, Wang, Ling

“… Due to the complexity of the problem, we consider a decomposition strategy and propose a cooperative co-evolutionary algorithm (CCEA …”
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A Learning-Assisted Bi-Population Evolutionary Algorithm for Distributed Flexible Job-Shop Scheduling With Maintenance Decisions von Yan, Qi, Wang, Hongfeng, Yang, Shengxiang

“… In the post-pandemic era, more manufacturers have expedited the shift from centralized to distributed manufacturing to enhance supply chain resilience …”
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PEAB: A pool-based distributed evolutionary algorithm model with buffer von Yu, Zhixing, He, Kejing, Zou, Xiuhong

“… Pool Model is an asynchronous, loosely coupled distributed evolutionary algorithm (dEA …”
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Comparison between hierarchical distributed evolutionary algorithms and general distributed evolutionary algorithms von Zukai Tang

“… As a special type of distributed evolutionary algorithms (DEAs), hierarchal distributed evolutionary algorithms (HDEAs …”
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Dual evolutionary algorithm based on Dyna-Q for distributed heterogeneous hybrid flow shop problems with L-R trapezoidal fuzzy numbers: Dual evolutionary algorithm based on Dyna-Q for distributed von Xia, Liangcai, Chen, Shijun, Zhou, Weigang, Wang, Qian, Xu, Jiying

“… in the processing times of machine operations. To address this problem, a dual evolutionary algorithm based on Dyna-Q is proposed …”
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Towards the Exact Minimization of BDDs—An Elitism-Based Distributed Evolutionary Algorithm von Chen, Shan-Tai, Lin, Shun-Shii, Huang, Li-Te, Wei, Chun-Jen

“… This paper proposes an elitism-based evolutionary algorithm (EBEA) for BDD minimization. It can efficiently find the optimal orderings of variables for all LGSynth91 benchmark circuits with a known minimum size …”
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Scalable distributed evolutionary algorithm orchestration using Docker containers von Dziurzanski, Piotr, Zhao, Shuai, Przewozniczek, Michal, Komarnicki, Marcin, Indrusiak, Leandro Soares

“… •Three island-based dynamic optimisation managers that governing the number of islands for multi-objective genetic algorithms …”
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Distributed evolutionary algorithm for co-optimization of building and district systems for early community energy masterplanning von Bucking, Scott, Dermardiros, Vasken

“… •A distributed evolutionary algorithm using a hybrid island master-slave model is proposed …”
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A Classifier-Ensemble-Based Surrogate-Assisted Evolutionary Algorithm for Distributed Data-Driven Optimization von Guo, Xiao-Qi, Wei, Feng-Feng, Zhang, Jun, Chen, Wei-Neng

“… Surrogate-assisted evolutionary algorithms (SAEAs) have achieved effective performance in solving complex data-driven optimization problems …”
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Two-stage knowledge-driven evolutionary algorithm for distributed green flexible job shop scheduling with type-2 fuzzy processing time von Li, Rui, Gong, Wenyin, Wang, Ling, Lu, Chao, Jiang, Shuning

“… •The distributed green FJSP with type-2 fuzzy processing time is considered.•A two-stage knowledge-driven evolutionary algorithm is proposed …”
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Studying the effect of population size in distributed evolutionary algorithms on heterogeneous clusters von García-Sánchez, Pablo, Romero, Gustavo, González, Jesús, Miguel Mora, Antonio, Arenas, Maribel García, Castillo, Pedro Ángel, Fernandes, Carlos, Julián Merelo, Juan

“… [Display omitted] •We present a study on the adaptation of the island sizes of a distributed Evolutionary Algorithm to the computational power of the nodes of an heterogeneous cluster …”
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A bi-objective evolutionary algorithm for distributed production scheduling with eligibility restrictions von Hu, Chaoming, Zhang, Teng, Gao, Yao, Liu, Xinbao, Wang, Xubiao

“… The distributed manufacturing model has emerged as a highly effective strategy in the manufacturing sector, esteemed for its prowess in cutting enterprise operating costs and elevating market responsiveness …”
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