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GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
13 years 11 months ago
A new quantum behaved particle swarm optimization
This paper presents a variant of Quantum behaved Particle Swarm Optimization (QPSO) named Q-QPSO for solving global optimization problems. The Q-QPSO algorithm is based on the cha...
Millie Pant, Radha Thangaraj, Ajith Abraham
GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
13 years 11 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
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 11 months ago
Solving constrained multi-objective problems by objective space analysis
In this paper a new approach to solve constrained multi-objective problems by way of evolutionary multi-objective optimization is introduced. In contrast to former evolutionary ap...
Gideon Avigad, Carlos A. Coello Coello
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
13 years 11 months ago
Towards incremental social learning in optimization and multiagent systems
Social learning is a mechanism that allows individuals to acquire knowledge from others without incurring the costs of acquiring it individually. Individuals that learn socially c...
Marco Antonio Montes de Oca, Thomas Stützle
GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
13 years 11 months ago
Experiments with indexed FOR-loops in genetic programming
We investigated how indexed FOR-loops, such as the ones found in procedural programming languages, can be implemented in genetic programming. We use them to train programs that le...
Gayan Wijesinghe, Victor Ciesielski