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» Towards high speed multiobjective evolutionary optimizers
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ISCAS
1999
IEEE
106views Hardware» more  ISCAS 1999»
15 years 3 months ago
Multi-objective design strategy for high-level low power design of DSP systems
High-level power design presents a complex, multiobjective problem that involves the simultaneous optimisation of competing criteria such as speed, area and power. It is difficult...
Mark S. Bright, Tughrul Arslan
GECCO
2000
Springer
142views Optimization» more  GECCO 2000»
15 years 2 months ago
Improving EAs for Sequencing Problems
Sequencing problems have to be solved very often in VLSI CAD. To obtain results of high quality, Evolutionary Algorithms (EAs) have been successfully applied in many cases. Howeve...
Wolfgang Günther, Rolf Drechsler
117
Voted
EUSFLAT
2003
174views Fuzzy Logic» more  EUSFLAT 2003»
15 years 9 days ago
Evolvable fuzzy controllers using parallel evolutionary algorithms
We are trying to piece together the knowledge of evolution with the help of biology, informatics and physics to create complex evolutionary algorithms with parallel and hierarchic...
Pavel Osmera
96
Voted
GECCO
2007
Springer
308views Optimization» more  GECCO 2007»
15 years 5 months ago
Multiobjective clustering with automatic k-determination for large-scale data
Web mining - data mining for web data - is a key factor of web technologies. Especially, web behavior mining has attracted a great deal of attention recently. Behavior mining invo...
Nobukazu Matake, Tomoyuki Hiroyasu, Mitsunori Miki...
128
Voted
CEC
2011
IEEE
13 years 11 months ago
Curiosity-driven optimization
— The principle of artificial curiosity directs active exploration towards the most informative or most interesting data. We show its usefulness for global black box optimizatio...
Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gom...