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EVOW
2004
Springer
13 years 9 months ago
Constructing Dynamic Optimization Test Problems Using the Multi-objective Optimization Concept
Abstract. Dynamic optimization using evolutionary algorithms is receiving increasing interests. However, typical test functions for comparing the performance of various dynamic opt...
Yaochu Jin, Bernhard Sendhoff
IPPS
2007
IEEE
13 years 10 months ago
Distributed Adaptive Particle Swarm Optimizer in Dynamic Environment
Particle Swarm Optimization (PSO) is a population-based stochastic optimization technique, which can be used to find an optimal, or near optimal, solution to a numerical and quali...
Xiaohui Cui, Thomas E. Potok
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
13 years 10 months ago
EcoPS: a particle swarm algorithm to model group-foraging
Recent work has introduced a simulation model of ecological processes in terms of a very simple Particle Swarm algorithm. This abstract model produced qualitatively realistic beha...
Cecilia Di Chio, Riccardo Poli, Paolo Di Chio
SASO
2008
IEEE
13 years 10 months ago
Evaporation as a Self-Adaptation Mechanism for PSO
This work extends the Particle Swarm Optimization (PSO) algorithm for working on dynamic environments. We propose an evaporation mechanism to solve the outdated memory problem. We...
Jose Luis Fernandez-Marquez, Josep Lluís Ar...
CEC
2008
IEEE
13 years 10 months ago
Differential evolution particle swarm optimization for digital filter design
— In this paper, swarm and evolutionary algorithms have been applied for the design of digital filters. Particle swarm optimization (PSO) and differential evolution particle swar...
Bipul Luitel, Ganesh K. Venayagamoorthy