52 search results - page 1 / 11 » On the effect of populations in evolutionary multi-objective... |
JUCS
2006
13 years 4 months ago
2006
: The paper concerns the design of evolutionary algorithms and pattern search methods on two circuit design problems: the multi-objective optimization of an Operational Transconduc...
EMO
2005
Springer
13 years 10 months ago
2005
Springer
Nearly all Multi-Objective Evolutionary Algorithms (MOEA) rely on random generation of initial population. In large and complex search spaces, this random method often leads to an ...
GECCO
2006
Springer
13 years 8 months ago
2006
Springer
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
Multiobjective evolutionary algorithms (MOEA) are an effective tool for solving search and optimization problems containing several incommensurable and possibly conflicting objec...
DAC
2007
ACM
13 years 9 months ago
2007
ACM
This paper presents MOJITO, a system which optimizes across thousands of analog circuit topologies simultaneously, and returns a set of sized topologies that collectively provide ...