Particle swarm optimisation: a historical review up to the current developments
The Particle Swarm Optimisation (PSO) algorithm was inspired by the social and biological
behaviour of bird flocks searching for food sources. In this nature-based algorithm …
behaviour of bird flocks searching for food sources. In this nature-based algorithm …
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 …
Particle swarm optimization
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[HTML][HTML] Particle swarm optimization applied to the design of water supply systems
In the past decade, evolutionary methods have been used by various researchers to tackle
optimal design problems for water supply systems (WSS). Particle Swarm Optimization …
optimal design problems for water supply systems (WSS). Particle Swarm Optimization …
Greedy discrete particle swarm optimization for large-scale social network clustering
Social computing is a new paradigm for information and communication technology. Social
network analysis is one of the theoretical underpinnings of social computing. Community …
network analysis is one of the theoretical underpinnings of social computing. Community …
Research on particle swarm optimization: a review
MP Song, GC Gu - … on machine learning and cybernetics (IEEE …, 2004 - ieeexplore.ieee.org
Particle swarm optimization (PSO) explores global optimal solution through exploiting the
particle's memory and the swarm's memory. Its properties of low constraint on the continuity …
particle's memory and the swarm's memory. Its properties of low constraint on the continuity …
Discrete particle swarm optimization for identifying community structures in signed social networks
Modern science of networks has facilitated us with enormous convenience to the
understanding of complex systems. Community structure is believed to be one of the notable …
understanding of complex systems. Community structure is believed to be one of the notable …
[HTML][HTML] Design optimization of wastewater collection networks by PSO
Optimal design of wastewater collection networks is addressed in this paper by making use
of the so-called PSO (Particle Swarm Optimization) technique. This already popular …
of the so-called PSO (Particle Swarm Optimization) technique. This already popular …
Annealing ant colony optimization with mutation operator for solving TSP
AM Mohsen - Computational intelligence and neuroscience, 2016 - Wiley Online Library
Ant Colony Optimization (ACO) has been successfully applied to solve a wide range of
combinatorial optimization problems such as minimum spanning tree, traveling salesman …
combinatorial optimization problems such as minimum spanning tree, traveling salesman …
Optimal maintenance scheduling of generators using multiple swarms-MDPSO framework
Y Yare, GK Venayagamoorthy - Engineering Applications of Artificial …, 2010 - Elsevier
In this paper, a challenging power system problem of effectively scheduling generating units
for maintenance is presented and solved. The problem of generator maintenance …
for maintenance is presented and solved. The problem of generator maintenance …