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Constraint Handling in Metaheuristics and Applications

This book aims to discuss the core and underlying principles and analysis of the different constraint handling approaches. The main emphasis of the book is on providing an enriched literature on mathematical modelling of the test as well as real-world problems with constraints, and further developme...

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Corporate Author: SpringerLink (Online service)
Other Authors: Kulkarni, Anand J. (Editor, http://id.loc.gov/vocabulary/relators/edt), Mezura-Montes, Efrén. (Editor, http://id.loc.gov/vocabulary/relators/edt), Wang, Yong. (Editor, http://id.loc.gov/vocabulary/relators/edt), Gandomi, Amir H. (Editor, http://id.loc.gov/vocabulary/relators/edt), Krishnasamy, Ganesh. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2021.
Edition:1st ed. 2021.
Subjects:
Artificial intelligence.
Mathematical models.
Computational intelligence.
Artificial Intelligence.
Mathematical Modeling and Industrial Mathematics.
Computational Intelligence.
Online Access:https://doi.org/10.1007/978-981-33-6710-4
Table of Contents:
  • 1. The Find-Fix-Finish-Exploit-Analyze (F3EA) meta-heuristic algorithm with an extended constraint handling technique for constrained optimization and engineering design
  • An improved Cohort Intelligence with Panoptic Learning Behavior for solving constrained problems
  • Nature-Inspired Metaheuristic Algorithms for Constraint Handling: Challenges, Issues and Research Perspective.

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