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GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
14 years 2 months 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 2 months 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 2 months 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 2 months 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 2 months 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 2 months 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 2 months 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
GECCO
2006
Springer
195views Optimization» more  GECCO 2006»
14 years 2 months ago
Studying XCS/BOA learning in Boolean functions: structure encoding and random Boolean functions
Recently, studies with the XCS classifier system on Boolean functions have shown that in certain types of functions simple crossover operators can lead to disruption and, conseque...
Martin V. Butz, Martin Pelikan
GECCO
2006
Springer
177views Optimization» more  GECCO 2006»
14 years 2 months ago
Hyper-ellipsoidal conditions in XCS: rotation, linear approximation, and solution structure
The learning classifier system XCS is an iterative rulelearning system that evolves rule structures based on gradient-based prediction and rule quality estimates. Besides classifi...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
GECCO
2006
Springer
184views Optimization» more  GECCO 2006»
14 years 2 months ago
Genetic algorithms and mixed integer linear programs for optimal strategies in a student's "sports" activity
This paper uses an entertaining student "sports" game to illustrate that GAs can be adapted to problems with uncertain properties and complexity. These problems can be s...
Thomas Butter, Franz Rothlauf, Jörn Grahl, To...