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Nature-Inspired Optimizers: Theories, Literature Reviews and Applications

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Nature-Inspired Optimizers: Theories, Literature Reviews and Applications - Mirjalili, Seyedali (Editor), and Song Dong, Jin (Editor), and Lewis, Andrew (Editor)
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Preface.- Chapter 1. Introduction to Nature-inspired Algorithms.- Chapter 2. Ant Colony Optimizer: Theory, Literature Review, and Application in AUV Path Planning.-Chapter 3. Ant Lion Optimizer: Theory, Literature Review, and Application in Multi-layer Perceptron Neural Network.- Chapter 4. Dragonfly Algorithm: Theory, Literature Review, and Application in Feature Selection.- Chapter 5. Genetic Algorithm: Theory, Literature Review, and Application in Image Reconstruction etc

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Nature-Inspired Optimizers: Theories, Literature Reviews and Applications 2020, Springer, Cham

ISBN-13: 9783030121297

2020 edition

Trade paperback

Nature-Inspired Optimizers: Theories, Literature Reviews and Applications 2019, Springer, Cham

ISBN-13: 9783030121266

2020 edition

Hardcover