Sciweavers

GECCO
2008
Springer
142views Optimization» more  GECCO 2008»
13 years 9 months ago
Complexity of Max-SAT using stochastic algorithms
Hill-climbing has been shown to be more effective than exhaustive search in solving satisfiability problems.Also, it has been used either by itself or in combination with other ...
Mohamed Qasem, Adam Prügel-Bennett
GECCO
2008
Springer
131views Optimization» more  GECCO 2008»
13 years 9 months ago
A new memetic strategy for the numerical treatment of multi-objective optimization problems
In this paper we propose a novel iterative search procedure for multi-objective optimization problems. The iteration process – though derivative free – utilizes the geometry o...
Oliver Schütze, Gustavo Sanchez, Carlos A. Co...
GECCO
2008
Springer
107views Optimization» more  GECCO 2008»
13 years 9 months ago
The influence of scaling and assortativity on takeover times in scale-free topologies
In evolving systems, the topological characteristics of population structure have a pronounced impact on the rate of spread of advantageous alleles, and therefore affect selective...
Joshua L. Payne, Margaret J. Eppstein
GECCO
2008
Springer
117views Optimization» more  GECCO 2008»
13 years 9 months ago
CrossNet: a framework for crossover with network-based chromosomal representations
We propose a new class of crossover operators for genetic algorithms (CrossNet) which use a network-based (or graphbased) chromosomal representation. We designed CrossNet with the...
Forrest Stonedahl, William Rand, Uri Wilensky
GECCO
2008
Springer
103views Optimization» more  GECCO 2008»
13 years 9 months ago
How generative encodings fare on less regular problems
Generative representations allow the reuse of code and thus facilitate the evolution of repeated phenotypic themes or modules. It has been shown that generative representations pe...
Jeff Clune, Charles Ofria, Robert T. Pennock
GECCO
2008
Springer
278views Optimization» more  GECCO 2008»
13 years 9 months ago
Elitism reduces bloat in genetic programming
Elitism is commonly used in generational GP to ensure that the best individuals discovered in a generation are not lost, and are made available for possible further improvements t...
Riccardo Poli, Nicholas Freitag McPhee, Leonardo V...
GECCO
2008
Springer
100views Optimization» more  GECCO 2008»
13 years 9 months ago
Optimizing hierarchical menus by genetic algorithm and simulated annealing
Hierarchical menus are now ubiquitous. The performance of the menu depends on many factors: structure, layout, colors and so on. There has been extensive research on novel menus, ...
Shouichi Matsui, Seiji Yamada
GECCO
2008
Springer
146views Optimization» more  GECCO 2008»
13 years 9 months ago
Automatic circle detection on images with an adaptive bacterial foraging algorithm
This article presents an algorithm for the automatic detection of circular shapes from complicated and noisy images. The algorithm is based on a recently developed swarm-intellige...
Sambarta Dasgupta, Arijit Biswas, Swagatam Das, Aj...
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
13 years 9 months ago
Evolutionary swarm design of architectural idea models
In this paper we present a swarm grammar system that makes use of bio-inspired mechanisms of reproduction, communication and construction in order to build three-dimensional struc...
Sebastian von Mammen, Christian Jacob