Particle Swarm Optimization

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"Particle Swarm Optimization" by Maurice Clerc is a astronomy book and space science reference focused on Cosmology. Best for students, researchers, and serious astronomy enthusiasts.

This is the first book devoted entirely to Particle Swarm Optimization (PSO), which is a non-specific algorithm, similar to evolutionary algorithms, such as taboo search and ant colonies.

Since its original development in 1995, PSO has mainly been applied to continuous-discrete heterogeneous strongly non-linear numerical optimization and it is thus used almost everywhere in the world. Its convergence rate also makes it a preferred tool in dynamic optimization.

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Best For: Researchers and practitioners in optimization and computational intelligence

Focus: Particle Swarm Optimization as a numerical optimization algorithm

Covers: Development, applications, and convergence properties of Particle Swarm Optimization

Why It Matters: PSO is widely used for solving complex non-linear optimization problems and is effective in dynamic optimization scenarios

"Particle Swarm Optimization" by Maurice Clerc is a astronomy book and space science reference focused on Cosmology. Best for students, researchers, and serious astronomy enthusiasts.

Topic: Cosmology

Author: Maurice Clerc

Who this is for:

Astronomy students
Researchers and advanced hobbyists
Readers exploring space science topics

Why this book matters: It matters because it helps readers build a stronger understanding of astronomy concepts, observations, and scientific ideas related to space.

This is the first book devoted entirely to Particle Swarm Optimization (PSO), which is a non-specific algorithm, similar to evolutionary algorithms, such as taboo search and ant colonies.

Since its original development in 1995, PSO has mainly been applied to continuous-discrete heterogeneous strongly non-linear numerical optimization and it is thus used almost everywhere in the world. Its convergence rate also makes it a preferred tool in dynamic optimization.