Publication result detail

Process Optimization by Taking Advantage of PSO, ACO AND GA

RAUDENSKÁ, L.

Original Title

Process Optimization by Taking Advantage of PSO, ACO AND GA

English Title

Process Optimization by Taking Advantage of PSO, ACO AND GA

Type

Paper in proceedings (conference paper)

Original Abstract

This paper proposes a solution technique for finding the optimum location. The term optimization refers to the study of problems in which one seeks to minimize or maximize a real function by systematically choosing the values of real or integer variables from within an allowed set. One of the possibility to solve optimization problem is with help of Swarm intelligence (SI), which is an artificial intelligence technique based around the study of collective behavior in decentralized, self-organized systems.

English abstract

This paper proposes a solution technique for finding the optimum location. The term optimization refers to the study of problems in which one seeks to minimize or maximize a real function by systematically choosing the values of real or integer variables from within an allowed set. One of the possibility to solve optimization problem is with help of Swarm intelligence (SI), which is an artificial intelligence technique based around the study of collective behavior in decentralized, self-organized systems.

Keywords

Swarm-based optimization, Bees algorithm, Particle swarm optimization, Ant Colony Optimization, Genetic algorithm.

Key words in English

Swarm-based optimization, Bees algorithm, Particle swarm optimization, Ant Colony Optimization, Genetic algorithm.

Authors

RAUDENSKÁ, L.

Released

27.08.2007

Book

IEEE Workshop Zvůle 2007

Pages from

160

Pages to

163

Pages count

4

BibTex

@inproceedings{BUT24058,
  author="Lenka {Raudenská}",
  title="Process Optimization by Taking Advantage of PSO, ACO AND GA",
  booktitle="IEEE Workshop Zvůle 2007",
  year="2007",
  pages="160--163"
}