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GECCO
2005
Springer
166views Optimization» more  GECCO 2005»
14 years 1 months ago
The emulation of social institutions as a method of coevolution
This paper offers a novel approach to coevolution based on the sociological theory of symbolic interactionism. It provides a multi-agent computational model along with experimenta...
Deborah Vakas Duong, John J. Grefenstette
EVOW
2005
Springer
14 years 1 months ago
Growing Music: Musical Interpretations of L-Systems
L-systems are parallel generative grammars, used to model plant development, with the results usually interpreted graphically. Music can also be represented by grammars, and it is ...
Peter Worth, Susan Stepney
EVOW
2005
Springer
14 years 1 months ago
A Performance Evaluation Framework for Nature Inspired Routing Algorithms
Performance evaluation of routing protocols is an important area of research that deals with the analysis and investigation of such protocols. A performance evaluation framework un...
Horst Wedde, Muddassar Farooq
EVOW
2005
Springer
14 years 1 months ago
Ant Algorithm for the Graph Matching Problem
This paper describes a new Ant Colony Optimization (ACO) algorithm for solving Graph Matching Problems, the goal of which is to find the best matching between vertices of multi-la...
Olfa Sammoud, Christine Solnon, Khaled Ghéd...
EVOW
2005
Springer
14 years 1 months ago
An Evolutionary Infection Algorithm for Dense Stereo Correspondence
This work presents an evolutionary approach to improve the infection algorithm to solve the problem of dense stereo matching. Dense stereo matching is used for 3D reconstruction in...
Cynthia B. Pérez, Gustavo Olague, Francisco...
EVOW
2005
Springer
14 years 1 months ago
Scatter Search Particle Filter to Solve the Dynamic Travelling Salesman Problem
This paper presents the Scatter Search Particle Filter (SSPF) algorithm and its application to the Dynamic Travelling Salesman Problem (DTSP). SSPF combines sequential estimation a...
Juan José Pantrigo, Abraham Duarte, Á...
EVOW
2005
Springer
14 years 1 months ago
Evolving Reversible Circuits for the Even-Parity Problem
Reversible computing basically means computation with less or not at all electrical power. Since the standard binary gates are not usually reversible we use the Fredkin gate in ord...
Mihai Oltean
EVOW
2005
Springer
14 years 1 months ago
Population Training Heuristics
This work describes a new way of employing problem-specific heuristics to improve evolutionary algorithms: the Population Training Heuristic (PTH). The PTH employs heuristics in ...
Alexandre César Muniz de Oliveira, Luiz Ant...