Hierarchic Genetic Strategy with maturing as a generic tool for Multiobjective Optimization-Reference-Cited by-同舟云学术

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Hierarchic Genetic Strategy with maturing as a generic tool for Multiobjective Optimization

Published:2016-11 Issue: Volume:17 Page:249-260
ISSN:1877-7503
Container-title:Journal of Computational Science
language:en
Short-container-title:Journal of Computational Science

Author:

Łazarz Radosław,Idzik Michał,Gądek Konrad,Gajda-Zagórska Ewa

Funder

Polish National Science Centre

Publisher

Elsevier BV

Subject

Modelling and Simulation,General Computer Science,Theoretical Computer Science

Reference44 articles.

1. Evolutionary Algorithms for Solving Multi-Objective Problems. Genetic and Evolutionary Computation;Coello,2007

2. Improving PSO-based multi-objective optimization using crowding, mutation and ϵ-dominance;Sierra,2005

3. Muiltiobjective optimization using nondominated sorting in genetic algorithms;Srinivas;Evol. Comput.,1994

4. An improved NSGA-III procedure for evolutionary many-objective optimization;Yuan,2014

5. Indicator-based selection in multiobjective search;Zitzler,2004

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1. Elitism in Multiobjective Hierarchical Strategy;Computational Science – ICCS 2021;2021

2. Search-space Decomposition for System-level Design Space Exploration of Embedded Systems;ACM Transactions on Design Automation of Electronic Systems;2020-03-17

3. Asynchronous Actor-Based Approach to Multiobjective Hierarchical Strategy;Lecture Notes in Computer Science;2020

4. Autonomous Hybridization of Agent-Based Computing;Computational Collective Intelligence;2020

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