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» Evolutionary multiobjective optimization
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APIN
1999
114views more  APIN 1999»
15 years 1 months ago
Evolutionary Approaches to Figure-Ground Separation
The problem of figure-ground separation is tackled from the perspective of combinatorial optimization. Previous attempts have used deterministic optimization techniques based on re...
Suchendra M. Bhandarkar, Xia Zeng
IDEAS
2005
IEEE
149views Database» more  IDEAS 2005»
15 years 7 months ago
An Adaptive Multi-Objective Scheduling Selection Framework for Continuous Query Processing
Adaptive operator scheduling algorithms for continuous query processing are usually designed to serve a single performance objective, such as minimizing memory usage or maximizing...
Timothy M. Sutherland, Yali Zhu, Luping Ding, Elke...
113
Voted
ISNN
2009
Springer
15 years 8 months ago
An Improved Quantum Evolutionary Algorithm with 2-Crossovers
Quantum evolutionary algorithm (QEA) is proposed on the basis of the concept and principles of quantum computing, which is a classical metaheuristic algorithm for the approximate s...
Zhihui Xing, Haibin Duan, Chunfang Xu
108
Voted
SODA
2010
ACM
238views Algorithms» more  SODA 2010»
15 years 11 months ago
How good is the Chord algorithm?
The Chord algorithm is a popular, simple method for the succinct approximation of curves, which is widely used, under different names, in a variety of areas, such as, multiobjecti...
Constantinos Daskalakis, Ilias Diakonikolas, Mihal...
GECCO
2004
Springer
15 years 7 months ago
Systematic Integration of Parameterized Local Search Techniques in Evolutionary Algorithms
Application-specific, parameterized local search algorithms (PLSAs), in which optimization accuracy can be traded off with runtime, arise naturally in many optimization contexts....
Neal K. Bambha, Shuvra S. Bhattacharyya, Jürg...