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 …
Particle swarm optimization: Hybridization perspectives and experimental illustrations
Metaheuristic optimization algorithms have become popular choice for solving complex and
intricate problems which are otherwise difficult to solve by traditional methods. In the present …
intricate problems which are otherwise difficult to solve by traditional methods. In the present …
MPSO: Modified particle swarm optimization and its applications
D Tian, Z Shi - Swarm and evolutionary computation, 2018 - Elsevier
Particle swarm optimization (PSO) is a population based meta-heuristic search algorithm
that has been widely applied to a variety of problems since its advent. In PSO, the inertial …
that has been widely applied to a variety of problems since its advent. In PSO, the inertial …
Multiobjective evolutionary algorithms for electric power dispatch problem
MA Abido - IEEE transactions on evolutionary computation, 2006 - ieeexplore.ieee.org
The potential and effectiveness of the newly developed Pareto-based multiobjective
evolutionary algorithms (MOEA) for solving a real-world power system multiobjective …
evolutionary algorithms (MOEA) for solving a real-world power system multiobjective …
Particle swarm optimization
Particle Swarm Optimization | SpringerLink Skip to main content Advertisement SpringerLink
Account Menu Find a journal Publish with us Track your research Search Cart Book cover …
Account Menu Find a journal Publish with us Track your research Search Cart Book cover …
Hybrid evolutionary algorithms: methodologies, architectures, and reviews
Evolutionary computation has become an important problem solving methodology among
many researchers. The population-based collective learning process, selfadaptation, and …
many researchers. The population-based collective learning process, selfadaptation, and …
Swarm intelligence: foundations, perspectives and applications
This chapter introduces some of the theoretical foundations of swarm intelligence. We focus
on the design and implementation of the Particle Swarm Optimization (PSO) and Ant Colony …
on the design and implementation of the Particle Swarm Optimization (PSO) and Ant Colony …
Dynamic parameter adaptation in particle swarm optimization using interval type-2 fuzzy logic
In this paper, we propose a new method for dynamic parameter adaptation in particle swarm
optimization (PSO). PSO is an optimization method inspired in social behavior, which has …
optimization (PSO). PSO is an optimization method inspired in social behavior, which has …
Scheduling jobs on computational grids using a fuzzy particle swarm optimization algorithm
Grid computing is a computational framework used to meet growing computational
demands. This paper introduces a novel approach based on Particle Swarm Optimization …
demands. This paper introduces a novel approach based on Particle Swarm Optimization …
Multi-reservoir operation rules: multi-swarm PSO-based optimization approach
L Ostadrahimi, MA Mariño, A Afshar - Water resources management, 2012 - Springer
Reservoir operation rules are intended to help an operator so that water releases and
storage capacities are in the best interests of the system objectives. In multi-reservoir …
storage capacities are in the best interests of the system objectives. In multi-reservoir …