Sciweavers

GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
14 years 7 days ago
Single and multi-objective genetic operators in object-oriented conceptual software design
This poster paper investigates the potential of single and multiobjective genetic operators with an object-oriented conceptual design space. Using cohesion as an objective fitness...
Christopher L. Simons, Ian C. Parmee
GECCO
2006
Springer
119views Optimization» more  GECCO 2006»
14 years 7 days ago
Anisotropic selection in cellular genetic algorithms
David Simoncini, Sébastien Vérel, Ph...
GECCO
2006
Springer
154views Optimization» more  GECCO 2006»
14 years 7 days ago
Dynamic fitness inheritance proportion for multi-objective particle swarm optimization
In this paper, we propose a dynamic mechanism to vary the probability by which fitness inheritance is applied throughout the run of a multi-objective particle swarm optimizer, in ...
Margarita Reyes Sierra, Carlos A. Coello Coello
GECCO
2006
Springer
167views Optimization» more  GECCO 2006»
14 years 7 days ago
Estimating the destructiveness of crossover on binary tree representations
In some cases, evolutionary algorithms represent individuals as typical binary trees with n leaves and n-1 internal nodes. When designing a crossover operator for a particular rep...
Luke Sheneman, James A. Foster
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
14 years 7 days ago
Convergence to global optima for genetic programming systems with dynamically scaled operators
This work shows asymptotic convergence to global optima for a family of dynamically scaled genetic programming systems where the underlying population consists of a fixed number o...
Lothar M. Schmitt, Stefan Droste
GECCO
2006
Springer
291views Optimization» more  GECCO 2006»
14 years 7 days ago
Modular thinking: evolving modular neural networks for visual guidance of agents
This paper investigates whether replacing non-modular artificial neural network brains of visual agents with modular brains improves their ability to solve difficult tasks, specif...
Ehud Schlessinger, Peter J. Bentley, R. Beau Lotto
GECCO
2006
Springer
178views Optimization» more  GECCO 2006»
14 years 7 days ago
A dynamic approach to artificial immune systems utilizing neural networks
The purpose of this work is to propose an immune-inspired setup to use a self-organizing map as a computational model for the interaction of antigens and antibodies. The proposed ...
Stefan Schadwinkel, Werner Dilger
GECCO
2006
Springer
198views Optimization» more  GECCO 2006»
14 years 7 days ago
Reward allotment in an event-driven hybrid learning classifier system for online soccer games
This paper describes our study into the concept of using rewards in a classifier system applied to the acquisition of decision-making algorithms for agents in a soccer game. Our a...
Yuji Sato, Yosuke Akatsuka, Takenori Nishizono
GECCO
2006
Springer
150views Optimization» more  GECCO 2006»
14 years 7 days ago
Evaluation relaxation using substructural information and linear estimation
The paper presents an evaluation-relaxation scheme where a fitness surrogate automatically adapts to the problem structure and the partial contributions of subsolutions to the fit...
Kumara Sastry, Cláudio F. Lima, David E. Go...