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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
124
Voted
CDC
2008
IEEE
167views Control Systems» more  CDC 2008»
15 years 10 months ago
On the approximate domain optimization of deterministic and expected value criteria
— We define the concept of approximate domain optimizer for deterministic and expected value optimization criteria. Roughly speaking, a candidate optimizer is an approximate dom...
Andrea Lecchini-Visintini, John Lygeros, Jan M. Ma...
115
Voted
VLDB
1995
ACM
96views Database» more  VLDB 1995»
15 years 7 months ago
The Fittest Survives: An Adaptive Approach to Query Optimization
Traditionally, optimizers are “programmed” to optimize queries following a set of buildin procedures. However, optimizers should be robust to its changing environment to gener...
Hongjun Lu, Kian-Lee Tan, Son Dao
127
Voted
GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
15 years 4 months ago
A new quantum behaved particle swarm optimization
This paper presents a variant of Quantum behaved Particle Swarm Optimization (QPSO) named Q-QPSO for solving global optimization problems. The Q-QPSO algorithm is based on the cha...
Millie Pant, Radha Thangaraj, Ajith Abraham
140
Voted
TIT
2011
128views more  TIT 2011»
14 years 10 months ago
Secure Network Coding on a Wiretap Network
—In the paradigm of network coding, the nodes in a network are allowed to encode the information received from the input links. With network coding, the full capacity of the netw...
Ning Cai, Raymond W. Yeung