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PPSN
2004
Springer
15 years 3 months ago
Behavior of Evolutionary Algorithms in Chaotically Changing Fitness Landscapes
We study an evolutionary algorithm used for optimizing in a chaotically changing dynamic environment. The corresponding chaotic non–stationary fitness landscape can be character...
Hendrik Richter
CEC
2010
IEEE
14 years 11 months ago
Evolutionary multi-objective optimization algorithms with probabilistic representation based on pheromone trails
Abstract-- Recently, the research on quantum-inspired evolutionary algorithms (QEA) has attracted some attention in the area of evolutionary computation. QEA use a probabilistic re...
Hui Li, Dario Landa Silva, Xavier Gandibleux
PPSN
2004
Springer
15 years 3 months ago
A Primer on the Evolution of Equivalence Classes of Bayesian-Network Structures
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Jorge Muruzábal, Carlos Cotta
PPSN
2010
Springer
14 years 9 months ago
Privacy-Preserving Multi-Objective Evolutionary Algorithms
Existing privacy-preserving evolutionary algorithms are limited to specific problems securing only cost function evaluation. This lack of functionality and security prevents thei...
Daniel Funke, Florian Kerschbaum
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
15 years 4 months ago
Multi-chromosomal genetic programming
This paper introduces an evolutionary algorithm which uses multiple chromosomes to evolve solutions to a symbolic regression problem. Inspiration for this algorithm is provided by...
Rachel Cavill, Stephen L. Smith, Andrew M. Tyrrell