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EUROGP
2004
Springer
14 years 3 months ago
On the Evolution of Evolutionary Algorithms
In this paper we discuss the evolution of several components of a traditional Evolutionary Algorithm, such as genotype to phenotype mappings and genetic operators, presenting a for...
Jorge Tavares, Penousal Machado, Amílcar Ca...
EUROGP
2004
Springer
160views Optimization» more  EUROGP 2004»
14 years 3 months ago
Exploiting Reflection in Object Oriented Genetic Programming
Most programs currently written by humans are object-oriented ones. Two of the greatest benefits of object oriented programming are the separation of interface from implementation,...
Simon M. Lucas
EUROGP
2004
Springer
170views Optimization» more  EUROGP 2004»
14 years 3 months ago
Comparing Hybrid Systems to Design and Optimize Artificial Neural Networks
Abstract. In this paper we conduct a comparative study between hybrid methods to optimize multilayer perceptrons: a model that optimizes the architecture and initial weights of mul...
Pedro A. Castillo Valdivieso, Maribel Garcí...
EUROGP
2004
Springer
122views Optimization» more  EUROGP 2004»
14 years 3 months ago
Boosting Technique for Combining Cellular GP Classifiers
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
GECCO
2009
Springer
14 years 3 months ago
Intelligent bias of network structures in the hierarchical BOA
Mark Hauschild, Martin Pelikan
GECCO
2009
Springer
116views Optimization» more  GECCO 2009»
14 years 3 months ago
String- and permutation-coded genetic algorithms for the static weapon-target assignment problem
In the Weapon-Target Assignment Problem, m enemy targets are inbound, each with a value Vj representing the damage it may do. The defense has n weapons, and the probability that w...
Bryant A. Julstrom
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
14 years 3 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
14 years 3 months ago
Adaptive evolution: an efficient heuristic for global optimization
This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because i...
Francisco Viveros Jiménez, Efrén Mez...
GECCO
2009
Springer
14 years 3 months ago
A hybrid GA-PSO fuzzy system for user identification on smart phones
Muhammad Shahzad, Saira Zahid, Muddassar Farooq
GECCO
2009
Springer
14 years 3 months ago
Evolving heuristically difficult instances of combinatorial problems
When evaluating a heuristic for a combinatorial problem, randomly generated instances of the problem may not provide a thorough exploration of the heuristic's performance, an...
Bryant A. Julstrom