Everything about Particle swarm optimization
Iterative simulation method
In computational science, particle swarm optimization (PSO) is a computational method that optimizes a problem by iteratively trying to improve a population of candidate solutions with regard to a given measure of quality. It solves a problem through interactions among a population of candidate solutions, dubbed particles, moving the particles around in the search-space according to simple mathematical formulae that adjust each particle's position and velocity. Each particle's movement is influenced by its own best known position so far, and by the best known position in its topological neighborhood ; vectors are updated as better positions are found. This is expected to move the swarm toward good solutions. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Particle swarm optimizationA 5-minute orientation
- Skim a recent paper: Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problemsInfluential work since 2022
- Pick up a classic book: Swarm Intelligence Methods for Statistical RegressionThe most-reprinted book on the subject
- Read the landmark paper: Handling multiple objectives with particle swarm optimizationCited 4,096 times
- Go sideways: Meta-optimizationA closely related topic
- Go sideways: List of metaphor-based metaheuristicsA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Handling multiple objectives with particle swarm optimization
Multi-strategy ensemble particle swarm optimization for dynamic optimization
A novel multi-swarm particle swarm optimization with dynamic learning strategy
A modified particle swarm optimization for multimodal multi-objective optimization
A coevolutionary technique based on multi-swarm particle swarm optimization for dynamic multi-objective optimization
Multi-reservoir Operation Rules: Multi-swarm PSO-based Optimization Approach
A constrained multi-swarm particle swarm optimization without velocity for constrained optimization problems
A novel multi-swarm algorithm for optimization in dynamic environments based on particle swarm optimization
🆕 Influential since 2022
Cooperative coevolutionary multi-guide particle swarm optimization algorithm for large-scale multi-objective optimization problems
Evolutionary-state-driven multi-swarm cooperation particle swarm optimization for complex optimization problem
Multi-Swarm Algorithm for Extreme Learning Machine Optimization
Multi-modal multi-objective particle swarm optimization with self-adjusting strategy
A multi-stage competitive swarm optimization algorithm for solving large-scale multi-objective optimization problems
📚 Books worth reading
- 📕Swarm Intelligence Methods for Statistical RegressionSoumya Mohanty · 2018
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Meta-optimization Meta-optimization from numerical optimization is the use of one optimization method to tune another optimization method. Meta-optimization is reported…
- List of metaphor-based metaheuristics This is a chronologically ordered list of metaphor-based metaheuristics and swarm intelligence algorithms, sorted by decade of proposal. Simulated annealing…
- Multi-swarm optimization Multi-swarm optimization is a variant of particle swarm optimization (PSO) based on the use of multiple sub-swarms instead of one (standard) swarm. The…
- Evolutionary multimodal optimization In applied mathematics, multimodal optimization deals with optimization tasks that involve finding all or most of the multiple (at least locally optimal)…
- Maurice Clerc (mathematician) Maurice Clerc is a French mathematician. Maurice Marcel Clerc was born on April 24, 1949, in Besançon. He finished his graduate studies and obtained his…
- Fly algorithm The Fly Algorithm is an approach in 3D reconstruction that utilizes clusters of points ("flies") corresponding to different nearby objects via genetic…
- Genetic algorithm A genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA)…
- Swarm intelligence Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on…