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GECCO
2006
Springer
182views Optimization» more  GECCO 2006»
9 years 10 months ago
Distributed genetic algorithm for energy-efficient resource management in sensor networks
In this work we consider energy-efficient resource management in an environment monitoring and hazard detection sensor network. Our goal is to allocate different detection methods...
Qinru Qiu, Qing Wu, Daniel J. Burns, Douglas Holzh...
GECCO
2006
Springer
158views Optimization» more  GECCO 2006»
9 years 10 months ago
The effects of interaction frequency on the optimization performance of cooperative coevolution
Cooperative coevolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance on this task is influenced by many design decisio...
Elena Popovici, Kenneth A. De Jong
GECCO
2006
Springer
139views Optimization» more  GECCO 2006»
9 years 10 months ago
Genetic programming: optimal population sizes for varying complexity problems
The population size in evolutionary computation is a significant parameter affecting computational effort and the ability to successfully evolve solutions. We find that population...
Alan Piszcz, Terence Soule
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
9 years 10 months ago
A survey of mutation techniques in genetic programming
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
Alan Piszcz, Terence Soule
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
9 years 10 months ago
An artificial immune system and its integration into an organic middleware for self-protection
Our human body is well protected by antibodies from our biological immune system. This protection system matured over millions of years and has proven its functionality. In our re...
Andreas Pietzowski, Wolfgang Trumler, Theo Ungerer
GECCO
2006
Springer
170views Optimization» more  GECCO 2006»
9 years 10 months ago
How an optimal observer can collapse the search space
Many metaheuristics have difficulty exploring their search space comprehensively. Exploration time and efficiency are highly dependent on the size and the ruggedness of the search...
Christophe Philemotte, Hugues Bersini
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
9 years 10 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
9 years 10 months ago
The Baldwin effect under spatial isolation and autonomous reproduction
The impact of learning on evolution in dynamic environments undergoes recognized stages of the Baldwin Effect although its cause is not clear. To identify it experimentally, we de...
H. L. Peng, J. C. Tay
GECCO
2006
Springer
151views Optimization» more  GECCO 2006»
9 years 10 months ago
Sporadic model building for efficiency enhancement of hierarchical BOA
This paper describes and analyzes sporadic model building, which can be used to enhance the efficiency of the hierarchical Bayesian optimization algorithm (hBOA) and other advance...
Martin Pelikan, Kumara Sastry, David E. Goldberg
GECCO
2006
Springer
332views Optimization» more  GECCO 2006»
9 years 10 months ago
Multi-objective PID-controller tuning for a magnetic levitation system using NSGA-II
This paper investigates the issue of PID-controller parameter tuning for a magnetic levitation system using the nondominated sorting genetic algorithm (NSGA-II). The magnetic levi...
Gerulf K. M. Pedersen, Zhenyu Yang
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