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GECCO
2008
Springer
274views Optimization» more  GECCO 2008»
13 years 5 months ago
Bacterial foraging oriented by particle swarm optimization strategy for PID tuning
Proportional integral derivative (PID) controller tuning is an area of interest for researchers in many disciplines of science and engineering. This paper presents a new algorithm...
Wael Mansour Korani
GECCO
2008
Springer
117views Optimization» more  GECCO 2008»
13 years 5 months ago
Is "best-so-far" a good algorithmic performance metric?
In evolutionary computation, experimental results are commonly analyzed using an algorithmic performance metric called best-so-far. While best-so-far can be a useful metric, its u...
Nathaniel P. Troutman, Brent E. Eskridge, Dean F. ...
GECCO
2008
Springer
127views Optimization» more  GECCO 2008»
13 years 5 months ago
Metaheuristics for solving a real-world frequency assignment problem in GSM networks
The Frequency Assignment Problem (FAP) is one of the key issues in the design of GSM networks (Global System for Mobile communications), and will remain important in the foreseeab...
Francisco Luna, César Estébanez, Cor...
GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
13 years 5 months ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb
GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
13 years 5 months ago
iBOA: the incremental bayesian optimization algorithm
This paper proposes the incremental Bayesian optimization algorithm (iBOA), which modifies standard BOA by removing the population of solutions and using incremental updates of t...
Martin Pelikan, Kumara Sastry, David E. Goldberg
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
13 years 5 months ago
Voronoi-initializated island models for solving real-coded deceptive problems
Deceptive problems have always been considered difficult for Genetic Algorithms. To cope with this characteristic, the literature has proposed the use of Parallel Genetic Algorith...
Santiago Muelas, José Manuel Peña, V...
GECCO
2008
Springer
109views Optimization» more  GECCO 2008»
13 years 5 months ago
A tunable model for multi-objective, epistatic, rugged, and neutral fitness landscapes
The fitness landscape of a problem is the relation between the solution candidates and their reproduction probability. In order to understand optimization problems, it is essenti...
Thomas Weise, Stefan Niemczyk, Hendrik Skubch, Rol...
GECCO
2008
Springer
324views Optimization» more  GECCO 2008»
13 years 5 months ago
Convergence behavior of the fully informed particle swarm optimization algorithm
The fully informed particle swarm optimization algorithm (FIPS) is very sensitive to changes in the population topology. The velocity update rule used in FIPS considers all the ne...
Marco Antonio Montes de Oca, Thomas Stützle
GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
13 years 5 months ago
Optinformatics for schema analysis of binary genetic algorithms
Given the importance of optimization and informatics which are the two broad fields of research, we present an instance of Optinformatics which denotes the specialization of info...
Minh Nghia Le, Yew-Soon Ong, Quang Huy Nguyen 0001