Useful Infeasible Solutions in Engineering Optimization with Evolutionary Algorithms

We propose an evolutionary-based approach to solve engineering design problems without using penalty functions. The aim is to identify and maintain infeasible solutions close to the feasible region located in promising areas. In this way, using the genetic operators, more solutions will be generated...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Mezura-Montes, Efrén, Coello, Carlos A. Coello
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Constraint Violation Evolutionary Algorithm Exact sciences and technology Feasible Region Feasible Solution Penalty Function Problem solving, game playing
Online-Zugang:	Volltext
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