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GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
13 years 10 months ago
Adaptive evolution: an efficient heuristic for global optimization
This paper presents a novel evolutionary approach to solve numerical optimization problems, called Adaptive Evolution (AEv). AEv is a new micro-population-like technique because i...
Francisco Viveros Jiménez, Efrén Mez...
ESWA
2006
182views more  ESWA 2006»
13 years 6 months ago
Improved route planning and scheduling of waste collection and transport
The collection of waste is a highly visible and important municipal service that involves large expenditures. Waste collection problems are, however, one of the most difficult ope...
Teemu Nuortio, Jari Kytöjoki, Harri Niska, Ol...
GECCO
2010
Springer
197views Optimization» more  GECCO 2010»
13 years 11 months ago
Adaptive strategy selection in differential evolution
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for global numerical optimization. Different strategies have been proposed for the offspring generation...
Wenyin Gong, Álvaro Fialho, Zhihua Cai
ECAL
1995
Springer
13 years 9 months ago
Contemporary Evolution Strategies
After an outline of the history of evolutionary algorithms, a new ( ) variant of the evolution strategies is introduced formally. Though not comprising all degrees of freedom, it i...
Hans-Paul Schwefel, Günter Rudolph
AIPS
2008
13 years 8 months ago
Linear Relaxation Techniques for Task Management in Uncertain Settings
In this paper, we consider the problem of assisting a busy user in managing her workload of pending tasks. We assume that our user is typically oversubscribed, and is invariably j...
Pradeep Varakantham, Stephen F. Smith