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GECCO
2006
Springer
132views Optimization» more  GECCO 2006»
14 years 7 days ago
"Optimal" mutation rates for genetic search
Using a set of model landscapes we examine how different mutation rates affect different search metrics. We show that very universal heuristics, such as 1/N and the error threshol...
Jorge Cervantes, Christopher R. Stephens
GECCO
2006
Springer
121views Optimization» more  GECCO 2006»
14 years 7 days ago
GRASP - evolution for constraint satisfaction problems
Manuel Cebrián, Iván Dotú
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
14 years 7 days ago
A genetic model based on simulated crossover of quaternary genes for quadratic fitness
We present a genetic model based on simulated recombination of fixed sequences of quaternary genes (assuming four distinct forms, or alleles). States and dynamics of the infinite ...
Marco Carpentieri, Vito Fedullo
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
14 years 7 days ago
Ensemble selection for evolutionary learning using information theory and price's theorem
This paper presents an information theoretic perspective on design and analysis of evolutionary algorithms. Indicators of solution quality are developed and applied not only to in...
Stuart W. Card, Chilukuri K. Mohan
GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
14 years 7 days ago
Indirect co-evolution for understanding belief in an incomplete information dynamic game
This study aims to design a new co-evolution algorithm, Mixture Co-evolution which enables modeling of integration and composition of direct co-evolution and indirect coevolution....
Nanlin Jin
GECCO
2006
Springer
253views Optimization» more  GECCO 2006»
14 years 7 days ago
A novel approach to optimize clone refactoring activity
Achieving a high quality and cost-effective tests is a major concern for software buyers and sellers. Using tools and integrating techniques to carry out low cost testing are chal...
Salah Bouktif, Giuliano Antoniol, Ettore Merlo, Ma...
GECCO
2006
Springer
129views Optimization» more  GECCO 2006»
14 years 7 days ago
Combining gradient techniques for numerical multi-objective evolutionary optimization
Recently, gradient techniques for solving numerical multi
Peter A. N. Bosman, Edwin D. de Jong
GECCO
2006
Springer
137views Optimization» more  GECCO 2006»
14 years 7 days ago
Structure and metaheuristics
Metaheuristics have often been shown to be effective for difficult combinatorial optimization problems. The reason for that, however, remains unclear. A framework for a theory of ...
Yossi Borenstein, Riccardo Poli
GECCO
2006
Springer
141views Optimization» more  GECCO 2006»
14 years 7 days ago
Applicability issues of the real-valued negative selection algorithms
The paper examines various applicability issues of the negative selection algorithms (NSA). Recently, concerns were raised on the use of NSAs, especially those using real-valued r...
Zhou Ji, Dipankar Dasgupta
GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
14 years 7 days ago
The no free lunch and realistic search algorithms
The No-Free-Lunch theorems (NFLTs) are criticized for being too general to be of any relevance to the real world scenario. This paper investigates, both formally and empirically, ...
Yossi Borenstein, Riccardo Poli