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» The no free lunch and realistic search algorithms
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EMO
2003
Springer
86views Optimization» more  EMO 2003»
13 years 10 months ago
No Free Lunch and Free Leftovers Theorems for Multiobjective Optimisation Problems
Abstract. The classic NFL theorems are invariably cast in terms of single objective optimization problems. We confirm that the classic NFL theorem holds for general multiobjective ...
David Corne, Joshua D. Knowles
EVOW
2008
Springer
13 years 6 months ago
A Study of Some Implications of the No Free Lunch Theorem
We introduce the concept of "minimal" search algorithm for a set of functions to optimize. We investigate the structure of closed under permutation (c.u.p.) sets and we c...
Andrea Valsecchi, Leonardo Vanneschi
GECCO
2008
Springer
109views Optimization» more  GECCO 2008»
13 years 6 months ago
Focused no free lunch theorems
Proofs and empirical evidence are presented which show that a subset of algorithms can have identical performance over a subset of functions, even when the subset of functions is ...
Darrell Whitley, Jonathan E. Rowe
SIGIR
2011
ACM
12 years 7 months ago
No free lunch: brute force vs. locality-sensitive hashing for cross-lingual pairwise similarity
This work explores the problem of cross-lingual pairwise similarity, where the task is to extract similar pairs of documents across two different languages. Solutions to this pro...
Ferhan Ture, Tamer Elsayed, Jimmy J. Lin
AUSAI
2005
Springer
13 years 6 months ago
A Comparison of Evolutionary Methods for the Discovery of Local Search Heuristics
Abstract. Methods of adaptive constraint satisfaction have recently become of interest to overcome the limitations imposed on “black-box” search algorithms by the no free lunch...
Stuart Bain, John Thornton, Abdul Sattar