Advances of Evolutionary Computation: Methods and Operators eBook

Delivery: Can be download immediately after purchasing. For new customer, we need process for verification from 30 mins to 12 hours.
Version: PDF/EPUB. If you need EPUB and MOBI Version, please send contact us.
Compatible Devices: Can be read on any devices.

The goal of this book is to present advances that discuss alternative Evolutionary Computation (EC) developments and non-conventional operators which have proved to be effective in the solution of several complex problems. The book has been structured so that each chapter can be read independently from the others. The book contains nine chapters with the 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.

This is a digital product.

Advances of Evolutionary Computation: Methods and Operators is written by Erik Cuevas; Margarita Arimatea Díaz Cortés; Diego Alberto Oliva Navarro and published by Springer. The Digital and eTextbook ISBNs for Advances of Evolutionary Computation: Methods and Operators are 9783319285030, 3319285033 and the print ISBNs are 9783319285023, 3319285025.