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» Terminating Decision Algorithms Optimally
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EOR
2002
125views more  EOR 2002»
15 years 3 months ago
Genetic local search for multi-objective combinatorial optimization
The paper presents a new genetic local search algorithm for multi-objective combinatorial optimization. The goal of the algorithm is to generate in a short time a set of approxima...
Andrzej Jaszkiewicz
CEC
2009
IEEE
15 years 10 months ago
The multiobjective evolutionary algorithm based on determined weight and sub-regional search
— By dividing the multiobjective optimization of the decision space into several small regions, this paper proposes multi-objective optimization algorithm based on sub-regional s...
Hai-lin Liu, Xueqiang Li
EMO
2001
Springer
152views Optimization» more  EMO 2001»
15 years 7 months ago
Multi-objective Design Space Exploration of Road Trains with Evolutionary Algorithms
This paper examines the road train concept as a new alternative in long-distance freight traffic. The design of such a system is a difficult task since many different and conflicti...
Nando Laumanns, Marco Laumanns, Dirk Neunzig
131
Voted
CVPR
2008
IEEE
15 years 9 months ago
Global data association for multi-object tracking using network flows
We propose a network flow based optimization method for data association needed for multiple object tracking. The maximum-a-posteriori (MAP) data association problem is mapped in...
Li Zhang, Yuan Li, Ramakant Nevatia
EPS
1998
Springer
15 years 7 months ago
Evolutionary Algorithms for Vertex Cover
This paper reports work investigating various evolutionary approaches to vertex cover (VC), a well-known NP-Hard optimization problem. Central to each of the algorithms is a novel ...
Isaac K. Evans