Sciweavers

GECCO
2003
Springer
14 years 4 months ago
A Case for Codons in Evolutionary Algorithms
A new method is developed for representation and encoding in population-based evolutionary algorithms. The method is inspired by the biological genetic code and utilizes a many-to-...
Joshua Gilbert, Margaret J. Eppstein
GECCO
2003
Springer
137views Optimization» more  GECCO 2003»
14 years 4 months ago
The Spatially-Dispersed Genetic Algorithm
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
Grant Dick
GECCO
2003
Springer
14 years 4 months ago
Chromosome Reuse in Genetic Algorithms
This paper introduces a novel genetic algorithm strategy based on the reuse of chromosomes from previous generations in the creation of offspring individuals. A number of chromoso...
Adnan Acan, Yüce Tekol
GCC
2003
Springer
14 years 4 months ago
An Evolutionary Constraint Satisfaction Solution for over the Cell Channel Routing
A novel combination of genetic algorithms and constraint satisfaction modelling for the solution of two and multi-layer over-thecell channel routing problems is presented. The two ...
Ahmet Ünveren, Adnan Acan
ATAL
2003
Springer
14 years 4 months ago
Designing Self-Assembly for 2-Dimensional Building Blocks
In this paper we present a genetic algorithm-based approach towards designing self-assembling objects comprised of square smart blocks. Each edge of each block can have one of thr...
Ying Guo, Geoff Poulton, Philip Valencia, Geoff Ja...
ICML
2003
IEEE
14 years 4 months ago
Evolutionary MCMC Sampling and Optimization in Discrete Spaces
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
Malcolm J. A. Strens
KBSE
2003
IEEE
14 years 4 months ago
Automated Software Testing Using a Metaheuristic Technique Based on Tabu Search
The use of techniques for automating the generation of software test cases is very important as it can reduce the time and cost of this process. The latest methods for automatic g...
Eugenia Díaz, Javier Tuya, Raquel Blanco
ICTAI
2003
IEEE
14 years 4 months ago
Genetic Algorithm Calibration of Probabilistic Cellular Automata for Modeling Mining Permit Activity
We use a genetic algorithm to calibrate a spatially and temporally resolved cellular automata to model mining activity on public land in Idaho and western Montana. The genetic alg...
Sushil J. Louis, Gary L. Raines
SIGADA
2004
Springer
14 years 4 months ago
Comparative analysis of genetic algorithm implementations
Genetic Algorithms provide computational procedures that are modeled on natural genetic system mechanics, whereby a coded solution is “evolved” from a set of potential solutio...
Robert Soricone, Melvin Neville
PPSN
2004
Springer
14 years 4 months ago
Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms
Cancer chemotherapy is a complex treatment mode that requires balancing the benefits of treating tumours using anti-cancer drugs with the adverse toxic side-effects caused by these...
Andrei Petrovski, Bhavani Sudha, John A. W. McCall