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GECCO
2006
Springer
129views Optimization» more  GECCO 2006»
15 years 7 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»
15 years 7 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»
15 years 7 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»
15 years 7 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»
15 years 7 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