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PREMI
2005
Springer
15 years 3 months ago
I-EMO: An Interactive Evolutionary Multi-objective Optimization Tool
With the advent of efficient techniques for multi-objective evolutionary optimization (EMO), real-world search and optimization problems are being increasingly solved for mulitple ...
Kalyanmoy Deb, Shamik Chaudhuri
CEC
2007
IEEE
15 years 2 months ago
A hybrid evolutionary approach to the university course timetabling problem
Combinations of evolutionary based approaches with local search have provided very good results for a variety of scheduling problems. This paper describes the development of such a...
Salwani Abdullah, Edmund K. Burke, Barry McCollum
GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 1 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
EMO
2006
Springer
117views Optimization» more  EMO 2006»
15 years 3 days ago
Multiplex PCR Assay Design by Hybrid Multiobjective Evolutionary Algorithm
Abstract. Multiplex Polymerase Chain Reaction (PCR) assay is to amplify multiple target DNAs simultaneously using different primer pairs for each target DNA. Recently, it is widely...
In-Hee Lee, Soo-Yong Shin, Byoung-Tak Zhang
GECCO
2008
Springer
161views Optimization» more  GECCO 2008»
14 years 11 months ago
An evolutionary design technique for collective communications on optimal diameter-degree networks
Scheduling collective communications (CC) in networks based on optimal graphs and digraphs has been done with the use of the evolutionary techniques. Inter-node communication patt...
Jirí Jaros, Vaclav Dvorak