Constraint Handling Using Gradient Repair Differential Evolution / Nejlevnější knihy
Constraint Handling Using Gradient Repair Differential Evolution

Kód: 15598209

Constraint Handling Using Gradient Repair Differential Evolution

Autor Sudipta Ghosh, Soumen Sardar

The Differential Evolution (DE) algorithm emerged as a very competitive form of evolutionary computing more than a decade ago. The first article on DE published as a technical report by Rainer Storn and Kenneth V. Price in 1995. D ... celý popis

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The Differential Evolution (DE) algorithm emerged as a very competitive form of evolutionary computing more than a decade ago. The first article on DE published as a technical report by Rainer Storn and Kenneth V. Price in 1995. DE operates through the same computational steps as employed by a standard EA. However, unlike traditional EAs, DE employs difference of the parameter vectors to explore the objective function landscape. The Gradient Repair method is suitable used as a infeasible solution repairing technique along with Differential Evolution (DE) algorithm results in development of Gradient Repair Differential Evolution algorithm for constrained optimization. While handling real-world problems we not only have to find the optimal solutions but also have to satisfy one or more certain specified functional criterion and other requirements known as constraints to generate an acceptable solution. Thus the proposed GRDE algorithm efficiently handles the constrained real world problems.

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