Hybrid Genetic Algorithms for Optimization: Design and Applications - Brossura

Das, Kedar Nath

Brossura

ISBN 10: 3659240591 ISBN 13: 9783659240591

Casa editrice: LAP LAMBERT Academic Publishing, 2012

Riassunto

In this book, a Genetic Algorithm (GA) is hybridized with the local search called Quadratic Approximation (QA) that helps in finding the minima of a quadratic surface passing through three different arbitrary points in the search space. The designed hybrid GA is proposed to solve both unconstrained and unconstrained optimization problems. Initially, a qualitative combination of GA operators is being investigated to solve unconstrained optimization problems and is testified through some typical unconstrained benchmark functions. The proposed algorithm is used to solve some real world problems those are free of constraints. Later, the unconstrained algorithm is developed to handle constraints and its efficiency and efficacy is verified through some constrained typical benchmark function. Further, it is applied to some constrained real world problems. Towards the end, an efficient retrievable GA is proposed to solve to the Japanese number game called "Sudoku Puzzle" with a higher success rate.

Su questo libro

L'autore

Dr K. N. Das is currently working as Assistant Professor at NIT, Silchar, Assam, India; in the Deptt. of Mathematics. He achieved his Doctoral Degree from the IIT, Roorkee, India and received MHRD fellowship during his Ph. D. He has about 30 paper publications and now guiding 4 research scholars in the diversity field of evolutionary optimization.

Dettagli dell'edizione

• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 3659240591
• ISBN 13: 9783659240591
• Rilegatura: Copertina flessibile
• Numero di pagine: 264
• Contatto del produttore: non disponibile
• Persona responsabile: KreGa Onlinehandel GmbH; 4950000000000; info@krega-onlinehandel.de; ; Birkenweg 31; Brakel; 33034; Germania