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» Solving Hierarchical Optimization Problems Using MOEAs
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CCGRID
2003
IEEE
15 years 3 months ago
Distributed Computing with Hierarchical Master-worker Paradigm for Parallel Branch and Bound Algorithm
This paper discusses the impact of the hierarchical master-worker paradigm on performance of an application program, which solves an optimization problem by a parallel branch and ...
Kento Aida, Wataru Natsume, Yoshiaki Futakata
CCE
2004
14 years 9 months ago
Solving heat exchanger network synthesis problems with Tabu Search
: This paper describes the implementation of a meta-heuristic optimization approach, Tabu Search (TS), for Heat Exchanger Networks (HEN) synthesis and compares this approach to oth...
B. Lin, D. C. Miller
GECCO
2009
Springer
199views Optimization» more  GECCO 2009»
15 years 2 months ago
Using behavioral exploration objectives to solve deceptive problems in neuro-evolution
Encouraging exploration, typically by preserving the diversity within the population, is one of the most common method to improve the behavior of evolutionary algorithms with dece...
Jean-Baptiste Mouret, Stéphane Doncieux
CORR
2011
Springer
188views Education» more  CORR 2011»
14 years 4 months ago
Digraph description of k-interchange technique for optimization over permutations and adaptive algorithm system
The paper describes a general glance to the use of element exchange techniques for optimization over permutations. A multi-level description of problems is proposed which is a fund...
Mark Sh. Levin
109
Voted
CEC
2009
IEEE
15 years 4 months ago
A multi-objective approach to Redundancy Allocation Problem in parallel-series systems
— The Redundancy Allocation Problem (RAP) is a kind of reliability optimization problems. It involves the selection of components with appropriate levels of redundancy or reliabi...
Zai Wang, Tianshi Chen, Ke Tang, Xin Yao