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GECCO
2008
Springer
103views Optimization» more  GECCO 2008»
13 years 9 months ago
Empirical investigations on parallel competent genetic algorithms
This paper empirically investigates parallel competent genetic algorithms (cGAs) [4]. cGAs, such as BOA [21], LINCGA [15], D5 -GA [28], can solve GA-difficult problems by automati...
Miwako Tsuji, Masaharu Munetomo, Kiyoshi Akama
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
13 years 9 months ago
A multi-start quantum-inspired evolutionary algorithm for solving combinatorial optimization problems
Quantum-inspired evolutionary algorithms (QIEAs), as a subset of evolutionary computation, are based on the principles of quantum computing such as quantum bits and quantum superp...
Parvaz Mahdabi, Saeed Jalili, Mahdi Abadi
GECCO
2008
Springer
129views Optimization» more  GECCO 2008»
13 years 9 months ago
Estimation of pump-curves using genetic algorithms
This paper presents a variety of different ways of estimating the general parameters for pump-curves. First a formulation is made that converts the problem into estimating four p...
Gerulf K. M. Pedersen, Zhenyu Yang
GECCO
2008
Springer
158views Optimization» more  GECCO 2008»
13 years 9 months ago
Convergence analysis of quantum-inspired genetic algorithms with the population of a single individual
In this paper, the Quantum-inspired Genetic Algorithms with the population of a single individual are formalized by a Markov chain model using a single and the stored best individ...
Mehrshad Khosraviani, Saadat Pour-Mozafari, Mohamm...
GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
13 years 9 months ago
Neuro-evolution for a gathering and collective construction task
In this paper we apply three Neuro-Evolution (NE) methods as controller design approaches in a collective behavior task. These NE methods are Enforced Sub-Populations, MultiAgent ...
D. W. F. van Krevelen, Geoff S. Nitschke
GECCO
2008
Springer
111views Optimization» more  GECCO 2008»
13 years 9 months ago
Computational scenario-based capability planning
Scenarios are pen-pictures of plausible futures, used for strategic planning. The aim of this investigation is to expand the horizon of scenario-based planning through computation...
Hussein A. Abbass, Axel Bender, Hai Huong Dam, Ste...
GECCO
2008
Springer
116views Optimization» more  GECCO 2008»
13 years 9 months ago
Evolving similarity functions for code plagiarism detection
Students are often asked to submit electronic copies of their program code as part of assessment in computer science courses. To counter code plagiarism, educational institutions ...
Victor Ciesielski, Nelson Wu, Seyed M. M. Tahaghog...
GECCO
2008
Springer
137views Optimization» more  GECCO 2008»
13 years 9 months ago
Rank based variation operators for genetic algorithms
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...
Jorge Cervantes, Christopher R. Stephens
GECCO
2008
Springer
110views Optimization» more  GECCO 2008»
13 years 9 months ago
Crossover can provably be useful in evolutionary computation
We show that the natural evolutionary algorithm for the all-pairs shortest path problem is significantly faster with a crossover operator than without. This is the first theoret...
Benjamin Doerr, Edda Happ, Christian Klein
GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
13 years 9 months ago
On hopeful monsters, neutral networks and junk code in evolving L-systems
This paper investigates L-system evolution through experiments with a simulation platform of virtual plants. The conducted simulations vary the occurrence probability of terminal ...
Stefan Bornhofen, Claude Lattaud