4 Algorithms We Borrowed from Nature
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We use algorithms every day for things like image searches, predictive text, and securing sensitive data. Algorithms show up…
Nature-Inspired Algorithms for Optimisation
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Table of Contents
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Altmetric BadgeBook Overview
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Altmetric BadgeChapter 1 Why Is Optimization Difficult?
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Altmetric BadgeChapter 2 The Rationale Behind Seeking Inspiration from Nature
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Altmetric BadgeChapter 3 The Evolutionary-Gradient-Search Procedure in Theory and Practice
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Altmetric BadgeChapter 4 The Evolutionary Transition Algorithm: Evolving Complex Solutions Out of Simpler Ones
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Altmetric BadgeChapter 5 A Model-Assisted Memetic Algorithm for Expensive Optimization Problems
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Altmetric BadgeChapter 6 A Self-adaptive Mixed Distribution Based Uni-variate Estimation of Distribution Algorithm for Large Scale Global Optimization
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Altmetric BadgeChapter 7 Differential Evolution with Fitness Diversity Self-adaptation
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Altmetric BadgeChapter 8 Central Pattern Generators: Optimisation and Application
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Altmetric BadgeChapter 9 Fish School Search
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Altmetric BadgeChapter 10 Magnifier Particle Swarm Optimization
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Altmetric BadgeChapter 11 Improved Particle Swarm Optimization in Constrained Numerical Search Spaces
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Altmetric BadgeChapter 12 Applying River Formation Dynamics to Solve NP-Complete Problems
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Altmetric BadgeChapter 13 Algorithms Inspired in Social Phenomena
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Altmetric BadgeChapter 14 Artificial Immune Systems for Optimization
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Altmetric BadgeChapter 15 Ranking Methods in Many-Objective Evolutionary Algorithms
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Altmetric BadgeChapter 16 On the Effect of Applying a Steady-State Selection Scheme in the Multi-Objective Genetic Algorithm NSGA-II
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Altmetric BadgeChapter 17 Improving the Performance of Multiobjective Evolutionary Optimization Algorithms Using Coevolutionary Learning
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Altmetric BadgeChapter 18 Evolutionary Optimization for Multiobjective Portfolio Selection under Markowitz’s Model with Application to the Caracas Stock Exchange