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Hybrid Genetic Algorithms for Optimization: Design and Applications - Tapa blanda

Das, Kedar Nath

 
9783659240591: Hybrid Genetic Algorithms for Optimization: Design and Applications
Tapa blanda
ISBN 10: 3659240591 ISBN 13: 9783659240591
Editorial: LAP LAMBERT Academic Publishing, 2012

Sinopsis

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.

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Reseña del editor

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.

Biografía del autor

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.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2012
Idioma
Inglés
ISBN 10 
3659240591
ISBN 13 
9783659240591
Encuadernación
Tapa blanda
Número de páginas
264
Contacto del fabricante
no disponible
Persona responsable
no disponible