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EOR
2002
125views more  EOR 2002»
15 years 16 days 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
98
Voted
CDC
2008
IEEE
167views Control Systems» more  CDC 2008»
15 years 7 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...
83
Voted
VLDB
1995
ACM
96views Database» more  VLDB 1995»
15 years 4 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
99
Voted
GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
15 years 1 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
114
Voted
TIT
2011
128views more  TIT 2011»
14 years 7 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