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GECCO
2004
Springer
105views Optimization» more  GECCO 2004»
13 years 10 months ago
An Enhanced Genetic Algorithm for DNA Sequencing by Hybridization with Positive and Negative Errors
Abstract. This paper describes a genetic algorithm for the DNA sequencing problem. The algorithm allows the input spectrum to contain both positive and negative errors as could be ...
Thang Nguyen Bui, Waleed A. Youssef
GECCO
2004
Springer
179views Optimization» more  GECCO 2004»
13 years 10 months ago
Feature Synthesis Using Genetic Programming for Face Expression Recognition
In this paper a novel genetically-inspired learning method is proposed for face expression recognition (FER) in visible images. Unlike current research for FER that generally uses ...
Bir Bhanu, Jiangang Yu, Xuejun Tan, Yingqiang Lin
GECCO
2004
Springer
152views Optimization» more  GECCO 2004»
13 years 10 months ago
Ant System for the k-Cardinality Tree Problem
This paper gives an algorithm for finding the minimum weight tree having k edges in an edge weighted graph. The algorithm combines a search and optimization technique based on phe...
Thang Nguyen Bui, Gnanasekaran Sundarraj
GECCO
2004
Springer
13 years 10 months ago
Finding Maximum Cliques with Distributed Ants
In this paper we describe an ant system algorithm (ASMC) for the problem of finding the maximum clique in a given graph. In the algorithm each ant has only local knowledge of the ...
Thang Nguyen Bui, Joseph R. Rizzo
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
13 years 10 months ago
Actuator Noise in Recombinant Evolution Strategies on General Quadratic Fitness Models
This paper addresses the influence of actuator noise on the steady state behavior of multirecombinant evolution strategies (ES) on general quadratic fitness functions. Actuator n...
Hans-Georg Beyer
GECCO
2004
Springer
111views Optimization» more  GECCO 2004»
13 years 10 months ago
Autonomous Agent for Multi-objective Optimization
Alain Berro, Stéphane Sanchez
GECCO
2004
Springer
145views Optimization» more  GECCO 2004»
13 years 10 months ago
Automated Extraction of Problem Structure
Most problems studied in artificial intelligence possess some form of structure, but a precise way to define such structure is so far lacking. We investigate how the notion of pr...
Anthony Bucci, Jordan B. Pollack, Edwin D. de Jong
GECCO
2004
Springer
13 years 10 months ago
Improving Generalisation Performance Through Multiobjective Parsimony Enforcement
This paper describes POPE-GP, a system that makes use of the NSGA-II multiobjective evolutionary algorithm as an alternative, parameter-free technique for eliminating program bloat...
Yaniv Bernstein, Xiaodong Li, Victor Ciesielski, A...
GECCO
2004
Springer
13 years 10 months ago
A Step Size Preserving Directed Mutation Operator
Using a directed mutation can improve the efficiency of processing many optimization problems. The first mutation operators of this kind proposed by Hildebrand [1], however, suffer...
Stefan Berlik