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CEC
2007
IEEE
16 years 1 months ago
Comparing bio-inspired algorithms in constrained optimization problems
Abstract— This paper presents a comparison of four bioinspired algorithms (all seen as search engines) with a similar constraint-handling mechanism (Deb’s feasibility rules) to...
Efrén Mezura-Montes, Blanca Cecilia Lopez-R...
AIIA
2007
Springer
16 years 27 days ago
A Comparison of Genetic Algorithms for Optimizing Linguistically Informed IR in Question Answering
In this paper we compare four selection strategies in evolutionary optimization of information retrieval (IR) in a question answering setting. The IR index has been augmented by li...
Jörg Tiedemann
GECCO
2004
Springer
101views Optimization» more  GECCO 2004»
16 years 2 days ago
A Novel Multi-objective Orthogonal Simulated Annealing Algorithm for Solving Multi-objective Optimization Problems with a Large
In this paper, a novel multi-objective orthogonal simulated annealing algorithm MOOSA using a generalized Pareto-based scale-independent fitness function and multi-objective intell...
Li-Sun Shu, Shinn-Jang Ho, Shinn-Ying Ho, Jian-Hun...
VLDB
1994
ACM
153views Database» more  VLDB 1994»
15 years 10 months ago
Optimization Algorithms for Exploiting the Parallelism-Communication Tradeoff in Pipelined Parallelism
We address the problem of finding parallel plans for SQL queries using the two-phase approach of join ordering followed by parallelization. We focus on the parallelization phase a...
Waqar Hasan, Rajeev Motwani
WSCG
2003
223views more  WSCG 2003»
15 years 8 months ago
Optimizing Parameters of a Motion Detection System by Means of a Genetic Algorithm
Visual surveillance and monitoring have aroused interest in the computer video community for many years. The main task of these applications is to identify (and track) moving targ...
Alessandro Bevilacqua