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» Particle Swarms for Multimodal Optimization
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133
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GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
15 years 9 months ago
Informative performance metrics for dynamic optimisation problems
Existing metrics for dynamic optimisation are designed primarily to rate an algorithm’s overall performance. These metrics show whether one algorithm is better than another, but...
Stefan Bird, Xiaodong Li
125
Voted
CEC
2010
IEEE
15 years 4 months ago
Optimization of biogas production with computational intelligence a comparative study
Biogas plants are reliable sources of energy based on renewable materials including organic waste. There is a high demand from industry to run these plants efficiently, which lead...
Jörg Ziegenhirt, Thomas Bartz-Beielstein, Oli...
139
Voted
CLUSTER
2008
IEEE
15 years 10 months ago
A comparison of search heuristics for empirical code optimization
—This paper describes the application of various search techniques to the problem of automatic empirical code optimization. The search process is a critical aspect of auto-tuning...
Keith Seymour, Haihang You, Jack Dongarra
EAAI
2007
103views more  EAAI 2007»
15 years 3 months ago
Particle swarm-based optimal partitioning algorithm for combinational CMOS circuits
This paper presents a swarm intelligence based approach to optimally partition combinational CMOS circuits for pseudoexhaustive testing. The partitioning algorithm ensures reducti...
Ganesh K. Venayagamoorthy, Scott C. Smith, Gaurav ...
136
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SERA
2007
Springer
15 years 9 months ago
A Particle Swarm Social Model for Multi-Agent Based Insurgency Warfare Simulation
To better understand insurgent activities and asymmetric warfare, a social adaptive model for modeling multiple insurgent groups attacking multiple military and civilian targets i...
Xiaohui Cui, Thomas E. Potok