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AIEDAM
2000
134views more  AIEDAM 2000»
15 years 4 months ago
Adaptive enlargement of state spaces in evolutionary designing
In designing a state space of possible designs is implied by the representation used and the computational processes that operate on that representation. GAs are a means of effect...
John S. Gero, Vladimir A. Kazakov
CORR
2006
Springer
139views Education» more  CORR 2006»
15 years 4 months ago
Functional Brain Imaging with Multi-Objective Multi-Modal Evolutionary Optimization
Functional brain imaging is a source of spatio-temporal data mining problems. A new framework hybridizing multi-objective and multimodal optimization is proposed to formalize these...
Vojtech Krmicek, Michèle Sebag
PPSN
2004
Springer
15 years 9 months ago
Exploring the Evolutionary Details of a Feasible-Infeasible Two-Population GA
Abstract. A two-population Genetic Algorithm for constrained optimization is exercised and analyzed. One population consists of feasible candidate solutions evolving toward optimal...
Steven Orla Kimbrough, Ming Lu, David Harlan Wood
IPPS
1998
IEEE
15 years 8 months ago
An Evolutionary Approach to Multiprocessor Scheduling of Dependent Tasks
The scheduling of application tasks is a problem that occurs in all multiprocessor systems. This problem becomes even more complicated if the tasks are not independent but are inte...
Roman Nossal
151
Voted
IPPS
1998
IEEE
15 years 8 months ago
A Parallel Evolutionary Algorithm for the Vehicle Routing Problem with Heterogeneous Fleet
Abstract. Nowadays genetic algorithms stand as a trend to solve NPcomplete and NP-hard problems. In this paper, we present a new hybrid metaheuristic which uses Parallel Genetic Al...
Luiz Satoru Ochi, Dalessandro Soares Vianna, L&uac...