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» A New Approach to Improve Particle Swarm Optimization
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ICMLA
2007
15 years 2 months ago
Improving gene expression programming performance by using differential evolution
Gene Expression Programming (GEP) is an evolutionary algorithm that incorporates both the idea of a simple, linear chromosome of fixed length used in Genetic Algorithms (GAs) and...
Qiongyun Zhang, Chi Zhou, Weimin Xiao, Peter C. Ne...
WWW
2011
ACM
14 years 8 months ago
Automatic construction of a context-aware sentiment lexicon: an optimization approach
The explosion of Web opinion data has made essential the need for automatic tools to analyze and understand people’s sentiments toward different topics. In most sentiment analy...
Yue Lu, Malú Castellanos, Umeshwar Dayal, C...
ATMOS
2007
163views Optimization» more  ATMOS 2007»
15 years 3 months ago
Branching Strategies to Improve Regularity of Crew Schedules in Ex-Urban Public Transit
We discuss timetables in ex-urban bus traffic that consist of many trips serviced every day together with some exceptions that do not repeat daily. Traditional optimization methods...
Ingmar Steinzen, Leena Suhl, Natalia Kliewer
VMV
2003
142views Visualization» more  VMV 2003»
15 years 2 months ago
Evaluation and Improvement of Region-Based Motion Segmentation
Several approaches of motion segmentation were published in the last years, but an evaluation of these different approaches is missing up to now. Here we evaluate different method...
Mark Ross
GECCO
2005
Springer
139views Optimization» more  GECCO 2005»
15 years 7 months ago
A genetic algorithm for unmanned aerial vehicle routing
Genetic Algorithms (GAs) can efficiently produce high quality results for hard combinatorial real world problems such as the Vehicle Routing Problem (VRP). Genetic Vehicle Represe...
Matthew A. Russell, Gary B. Lamont