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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Handbook of Nature-Inspired Optimization Algorithms: The State of the Art: Volume II: Solving Constrained Single Objective Real-Parameter Optimization

Handbook of Nature-Inspired Optimization Algorithms: The State of the Art: Volume II: Solving Constrained Single Objective Real-Parameter Optimization

Mohamed, Ali Wagdy
Oliva, Diego
Suganthan, Ponnuthurai Nagaratnam

Hardcover

Series: Studies in Systems, Decision and Control, Book 213

Technology & EngineeringGeneral Computers

ISBN10: 3031075153
ISBN13: 9783031075155
Publisher: Springer Nature
Published: Sep 4 2022
Pages: 214
Weight: 1.09
Height: 0.56 Width: 6.14 Depth: 9.21
Language: English

This book presents recent contributions and significant development, advanced issues, and challenges. In real-world problems and applications, most of the optimization problems involve different types of constraints. These problems are called constrained optimization problems (COPs). The optimization of the constrained optimization problems is considered a challenging task since the optimum solution(s) must be feasible. In their original design, evolutionary algorithms (EAs) are able to solve unconstrained optimization problems effectively. As a result, in the past decade, many researchers have developed a variety of constraint handling techniques, incorporated into (EAs) designs, to counter this deficiency.

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