Sciweavers

GECCO
2008
Springer
102views Optimization» more  GECCO 2008»
13 years 6 months ago
Genetic-guided semi-supervised clustering algorithm with instance-level constraints
Yi Hong, Sam Kwong, Hui Xiong, Qingsheng Ren
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
13 years 6 months ago
Speed-up techniques for solving large-scale bTSP with the Two-Phase Pareto Local Search
We first present a method, called Two-Phase Pareto Local Search, to find a good approximation of the efficient set of the biobjective traveling salesman problem. In the first p...
Thibaut Lust
GECCO
2008
Springer
144views Optimization» more  GECCO 2008»
13 years 6 months ago
Maintaining diversity through adaptive selection, crossover and mutation
This paper presents an Adaptive Genetic Algorithm (AGA) where selection pressure, crossover and mutation probabilities are adapted according to population diversity statistics. Th...
Brian McGinley, Fearghal Morgan, Colm O'Riordan
GECCO
2008
Springer
104views Optimization» more  GECCO 2008»
13 years 6 months ago
Protein-protein functional association prediction using genetic programming
Determining if a group of proteins are functionally associated among themselves is an open problem in molecular biology. Within our long term goal of applying Genetic Programming ...
Beatriz García, Ricardo Aler, Agapito Ledez...
GECCO
2008
Springer
157views Optimization» more  GECCO 2008»
13 years 6 months ago
Self-adaptive mutation rates in genetic algorithm for inverse design of cellular automata
Self-adaptation is used a lot in Evolutionary Strategies and with great success, yet for some reason it is not the mutation adaptation of choice for Genetic Algorithms. This poste...
Ron Breukelaar, Thomas Bäck
GECCO
2008
Springer
111views Optimization» more  GECCO 2008»
13 years 6 months ago
Heterogeneous sensitive ant model for combinatorial optimization
Camelia Chira, D. Dumitrescu, Camelia-Mihaela Pint...
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
13 years 6 months ago
Collective intelligence and bush fire spotting
Bush fires cause major damage each year in many areas of the world and the earlier that they can be detected the easier it is to minimize this damage. This paper describes a coll...
David Howden, Tim Hendtlass
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
13 years 6 months ago
Allocation of local and global search capabilities of particle in canonical PSO
This paper analyzes theoretically the exact sampling distribution of the particle swarm optimization (PSO) without any assumption imposed by all current analyses. The distribution...
Junqi Zhang, Kun Liu, Ying Tan, Xingui He
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
13 years 6 months ago
Runtime analysis of binary PSO
We investigate the runtime of the Binary Particle Swarm Optimization (PSO) algorithm introduced by Kennedy and Eberhart (1997). The Binary PSO maintains a global best solution and...
Dirk Sudholt, Carsten Witt