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CEC
2010
IEEE
15 years 7 months ago
Many-objective Distinct Candidates Optimization using Differential Evolution on centrifugal pump design problems
Many-objective problems are difficult to solve using conventional multi-objective evolutionary algorithms (MOEAs) as these algorithms rely primarily on Pareto ranking to guide the ...
Peter Dueholm Justesen, Rasmus K. Ursem
ICTAI
2006
IEEE
16 years 17 days ago
Finding Crucial Subproblems to Focus Global Search
Traditional global search heuristics to solve constraint satisfaction problems focus on properties of an individual variable that mandate early search attention. If, however, one ...
Susan L. Epstein, Richard J. Wallace
CONIELECOMP
2005
IEEE
16 years 4 days ago
Approximate Searching on Compressed Text
The approximate searching problem on compressed text tries to find all the matches of a pattern in a compressed text, without decompressing it and considering that the match of th...
Carlos Avendaño Pérez, Claudia Fereg...
AAAI
2000
15 years 7 months ago
Divide-and-Conquer Frontier Search Applied to Optimal Sequence Alignment
We present a new algorithm that reduces the space complexity of heuristic search. It is most effective for problem spaces that grow polynomially with problem size, but contain lar...
Richard E. Korf, Weixiong Zhang
IJCNN
2006
IEEE
16 years 17 days ago
Job-Shop Scheduling with an Adaptive Neural Network and Local Search Hybrid Approach
— Job-shop scheduling is one of the most difficult production scheduling problems in industry. This paper proposes an adaptive neural network and local search hybrid approach fo...
Shengxiang Yang