Advances of Evolutionary Computation
Synopsis
The goal of this book is topresent advances that discuss alternative Evolutionary Computation (EC) developmentsand non-conventional operators which have proved to be eective in the solutionof several complex problems. The book has been structured so that each chaptercan be read independently from the others. The book contains nine chapters withthe following themes: 1) Introduction, 2) the Social Spider Optimization (SSO),3) the States of Matter Search (SMS), 4) the collective animal behavior (CAB)algorithm, 5) the Allostatic Optimization (AO) method, 6) the Locust Search(LS) algorithm, 7) the Adaptive Population with Reduced Evaluations (APRE)method, 8) the multimodal CAB, 9) the constrained SSO method.
- Copyright:
- 2016 Springer
Book Details
- Book Quality:
- ISBN-13:
- 9783319285030
- Publisher:
- Springer International Publishing, Cham
- Date of Addition:
- 2018-07-20T17:02:18Z
- Language:
- English
- Categories:
- Usage Restrictions:
- This is a copyrighted book.