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GECCO
2005
Springer
13 years 10 months ago
Shape nesting by coevolving species
Jeffrey Horn
GECCO
2005
Springer
154views Optimization» more  GECCO 2005»
13 years 10 months ago
Genetic drift in univariate marginal distribution algorithm
Like Darwinian-type genetic algorithms, there also exists genetic drift in Univariate Marginal Distribution Algorithm (UMDA). Since the universal analysis of genetic drift in UMDA...
Yi Hong, Qingsheng Ren, Jin Zeng
GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
13 years 10 months ago
A multi-objective evolutionary approach to peptide structure redesign and stabilization
The prediction of the native structures of proteins, the socalled protein folding problem, is a NP hard multi-minima optimization problem for which to date no routine solutions ex...
Tim Hohm, Daniel Hoffmann
GECCO
2005
Springer
124views Optimization» more  GECCO 2005»
13 years 10 months ago
Multi-objective optimization of diesel engine emissions and fuel economy using SPEA2+
Tomoyuki Hiroyasu, Mitsunori Miki, Seiichi Nakayam...
GECCO
2005
Springer
137views Optimization» more  GECCO 2005»
13 years 10 months ago
An ant colony algorithm for multi-user detection in wireless communication systems
Samer L. Hijazi, Balasubramaniam Natarajan, Sanjoy...
GECCO
2005
Springer
13 years 10 months ago
Towards a self-stopping evolutionary algorithm using coupling from the past
German Hernandez, Kenneth Wilder, Fernando Ni&ntil...
GECCO
2005
Springer
145views Optimization» more  GECCO 2005»
13 years 10 months ago
Three dimensional evolutionary aerodynamic design optimization with CMA-ES
In this paper, we present the application of evolutionary optimization methods to a demanding, industrially relevant engineering domain, the three-dimensional optimization of gas ...
Martina Hasenjäger, Bernhard Sendhoff, Toyota...
GECCO
2005
Springer
13 years 10 months ago
Evolving agent swarms for clustering and sorting
Social insect societies consist of individuals with simple behavior, yet at the collective level the societies are capable of solving complex tasks. These tasks span a wide range,...
Vegard Hartmann
GECCO
2005
Springer
146views Optimization» more  GECCO 2005»
13 years 10 months ago
An empirical study of the robustness of two module clustering fitness functions
Two of the attractions of search-based software engineering (SBSE) derive from the nature of the fitness functions used to guide the search. These have proved to be highly robust...
Mark Harman, Stephen Swift, Kiarash Mahdavi
GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
13 years 10 months ago
Applying both positive and negative selection to supervised learning for anomaly detection
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Xiaoshu Hang, Honghua Dai