A review of particle swarm optimization. Part I: background and development
A Banks, J Vincent, C Anyakoha - Natural Computing, 2007 - Springer
Abstract Particle Swarm Optimization (PSO), in its present form, has been in existence for
roughly a decade, with formative research in related domains (such as social modelling …
roughly a decade, with formative research in related domains (such as social modelling …
A review of particle swarm optimization. Part II: hybridisation, combinatorial, multicriteria and constrained optimization, and indicative applications
A Banks, J Vincent, C Anyakoha - Natural Computing, 2008 - Springer
Abstract Particle Swarm Optimization (PSO), in its present form, has been in existence for
roughly a decade, with formative research in related domains (such as social modelling …
roughly a decade, with formative research in related domains (such as social modelling …
Pyramid particle swarm optimization with novel strategies of competition and cooperation
Particle swarm optimization (PSO) has shown its advantages in various optimization
problems. Topology and updating strategies are among its key concepts and have …
problems. Topology and updating strategies are among its key concepts and have …
Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation
N Lynn, PN Suganthan - Swarm and Evolutionary Computation, 2015 - Elsevier
This paper presents a comprehensive learning particle swarm optimization algorithm with
enhanced exploration and exploitation, named as “heterogeneous comprehensive learning …
enhanced exploration and exploitation, named as “heterogeneous comprehensive learning …
Velocity pausing particle swarm optimization: A novel variant for global optimization
Particle swarm optimization (PSO) is one of the most well-regard metaheuristics with
remarkable performance when solving diverse optimization problems. However, PSO faces …
remarkable performance when solving diverse optimization problems. However, PSO faces …
[HTML][HTML] Particle swarm optimization based on dimensional learning strategy
In traditional particle swarm optimization (PSO) algorithm, each particle updates its velocity
and position with a learning mechanism based on its personal best experience and the …
and position with a learning mechanism based on its personal best experience and the …
Comprehensive learning particle swarm optimizer for global optimization of multimodal functions
This paper presents a variant of particle swarm optimizers (PSOs) that we call the
comprehensive learning particle swarm optimizer (CLPSO), which uses a novel learning …
comprehensive learning particle swarm optimizer (CLPSO), which uses a novel learning …
Self regulating particle swarm optimization algorithm
In this paper, we propose a new particle swarm optimization algorithm incorporating the best
human learning strategies for finding the optimum solution, referred to as a Self Regulating …
human learning strategies for finding the optimum solution, referred to as a Self Regulating …
Differential evolution using a neighborhood-based mutation operator
Differential evolution (DE) is well known as a simple and efficient scheme for global
optimization over continuous spaces. It has reportedly outperformed a few evolutionary …
optimization over continuous spaces. It has reportedly outperformed a few evolutionary …
Enhancing particle swarm optimization using generalized opposition-based learning
Particle swarm optimization (PSO) has been shown to yield good performance for solving
various optimization problems. However, it tends to suffer from premature convergence …
various optimization problems. However, it tends to suffer from premature convergence …