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EUROGP
2006
Springer
112views Optimization» more  EUROGP 2006»
14 years 7 days ago
The Halting Probability in Von Neumann Architectures
Abstract. Theoretical models of Turing complete linear genetic programming (GP) programs suggest the fraction of halting programs is vanishingly small. Convergence results proved f...
William B. Langdon, Riccardo Poli
EUROGP
2006
Springer
135views Optimization» more  EUROGP 2006»
14 years 7 days ago
Dynamic Scheduling with Genetic Programming
This paper investigates the use of genetic programming in automatized synthesis of scheduling heuristics. The applied scheduling technique is priority scheduling, where the next st...
Domagoj Jakobovic, Leo Budin
EUROGP
2006
Springer
138views Optimization» more  EUROGP 2006»
14 years 7 days ago
Evolving Crossover Operators for Function Optimization
Abstract. A new model for evolving crossover operators for evolutionary function optimization is proposed in this paper. The model is a hybrid technique that combines a Genetic Pro...
Laura Diosan, Mihai Oltean
EUROGP
2006
Springer
110views Optimization» more  EUROGP 2006»
14 years 7 days ago
Blindbuilder: A New Encoding to Evolve Lego-Like Structures
This paper introduces a new representation for assemblies of small Lego -like elements: structures are indirectly encoded as construction plans. This representation shows some inte...
Alexandre Devert, Nicolas Bredeche, Marc Schoenaue...
EMO
2006
Springer
172views Optimization» more  EMO 2006»
14 years 7 days ago
Steady-State Selection and Efficient Covariance Matrix Update in the Multi-objective CMA-ES
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) combines a mutation operator that adapts its search distribution to the underlying optimization prob...
Christian Igel, Thorsten Suttorp, Nikolaus Hansen
EMO
2006
Springer
107views Optimization» more  EMO 2006»
14 years 7 days ago
Designing Multi-objective Variation Operators Using a Predator-Prey Approach
In this paper, we propose a new conceptual method for the design, investigation, and evaluation of multi-objective variation operators for evolutionary multi-objective algorithms. ...
Christian Grimme, Joachim Lepping
EMO
2006
Springer
124views Optimization» more  EMO 2006»
14 years 7 days ago
I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods
With the popularity of efficient multi-objective evolutionary optimization (EMO) techniques and the need for such problem-solving activities in practice, EMO methodologies and EMO ...
Kalyanmoy Deb, Shamik Chaudhuri
EMO
2006
Springer
161views Optimization» more  EMO 2006»
14 years 7 days ago
Design Issues in a Multiobjective Cellular Genetic Algorithm
In this paper we study a number of issues related to the design of a cellular genetic algorithm (cGA) for multiobjective optimization. We take as an starting point an algorithm fol...
Antonio J. Nebro, Juan José Durillo, Franci...
EMO
2006
Springer
68views Optimization» more  EMO 2006»
14 years 7 days ago
Multi-objective Evolutionary Algorithms for Resource Allocation Problems
Dilip Datta, Kalyanmoy Deb, Carlos M. Fonseca