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CEC
2007
IEEE
16 years 27 days ago
SAT-decoding in evolutionary algorithms for discrete constrained optimization problems
— For complex optimization problems, several population-based heuristics like Multi-Objective Evolutionary Algorithms have been developed. These algorithms are aiming to deliver ...
Martin Lukasiewycz, Michael Glaß, Christian ...
GECCO
2007
Springer
258views Optimization» more  GECCO 2007»
16 years 21 days ago
A genetic algorithm for resident physician scheduling problem
This paper formally presents the resident physician scheduling problem, which is one of the most important scheduling problems in hospital. The resident physician scheduling probl...
Chi-Way Wang, Lei-Ming Sun, Ming-Hui Jin, Chung-Ju...
ISICA
2007
Springer
16 years 21 days ago
A New Evolutionary Decision Theory for Many-Objective Optimization Problems
In this paper the authors point out that the Pareto Optimality is unfair, unreasonable and imperfect for Many-objective Optimization Problems (MOPs) underlying the hypothesis that ...
Zhuo Kang, Lishan Kang, Xiufen Zou, Minzhong Liu, ...
AUSAI
2005
Springer
16 years 3 days ago
A Lagrangian Heuristic for Winner Determination Problem in Combinatorial Auctions
Abstract. We present a Lagrangian-based heuristic LAHA for the Winner Determination Problem in Combinatorial Auctions. The algorithm makes use of the market computing power by appl...
Andrew Lim, Jiqing Tang
CPAIOR
2010
Springer
15 years 11 months ago
A Constraint Programming Approach for the Service Consolidation Problem
In this paper, we present a constraint programming approach for the service consolidation problem that is being currently tackled by Neptuny, Milan. The problem is defined as: Giv...
Kanika Dhyani, Stefano Gualandi, Paolo Cremonesi