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EMO
2006
Springer
124views Optimization» more  EMO 2006»
15 years 10 months ago
I-MODE: An Interactive Multi-objective Optimization and Decision-Making Using Evolutionary Methods
With the popularity of efficient multi-objective evolutionary optimization (EMO) techniques and the need for such problem-solving activities in practice, EMO methodologies and EMO ...
Kalyanmoy Deb, Shamik Chaudhuri
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
15 years 10 months ago
Growth of self-canceling code in evolutionary systems
This research examines the behavior of inoperative code (introns) in the evolution of genetically robust solutions. Genetically robust solutions are solutions that are less likely...
Xue Zhong, Terence Soule
GECCO
2010
Springer
206views Optimization» more  GECCO 2010»
15 years 10 months ago
Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms
Particle swarm optimization (PSO) has been in practice for more than 10 years now and has gained wide popularity in various optimization tasks. In the context to single objective ...
Kalyanmoy Deb, Nikhil Padhye
ATAL
2008
Springer
15 years 8 months ago
Evolutionary dynamics for designing multi-period auctions
Mechanism design (MD) has recently become a very popular approach in the design of distributed systems of autonomous agents. A key assumption required for the application of MD is...
Tomas Klos, Gerrit Jan van Ahee
188
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CF
2008
ACM
15 years 8 months ago
A distributed evolutionary method to design scheduling policies for volunteer computing
Volunteer Computing (VC) is a paradigm that takes advantage of idle cycles from computing resources donated by volunteers and connected through the Internet to compute large-scale...
Trilce Estrada, Olac Fuentes, Michela Taufer