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CORR
2010
Springer
87views Education» more  CORR 2010»
14 years 8 months ago
Using Evolution Strategy with Meta-models for Well Placement Optimization
Optimum implementation of non-conventional wells allows us to increase considerably hydrocarbon recovery. By considering the high drilling cost and the potential improvement in we...
Zyed Bouzarkouna, Didier Yu Ding, Anne Auger
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 2 months ago
Multi-niche crowding in the development of parallel genetic simulated annealing
In this paper, a new hybrid of genetic algorithm (GA) and simulated annealing (SA), referred to as GSA, is presented. In this algorithm, SA is incorporated into GA to escape from ...
Zhi-Gang Wang, Mustafizur Rahman 0002, Yoke-San Wo...
CPHYSICS
2006
204views more  CPHYSICS 2006»
14 years 9 months ago
Genetically controlled random search: a global optimization method for continuous multidimensional functions
A new stochastic method for locating the global minimum of a multidimensional function inside a rectangular hyperbox is presented. A sampling technique is employed that makes use ...
Ioannis G. Tsoulos, Isaac E. Lagaris
PPSN
1992
Springer
15 years 1 months ago
Nonstationary Function Optimization using the Structured Genetic Algorithm
In this paper, we describe the application of a new type of genetic algorithm called the Structured Genetic Algorithm (sGA) for function optimization in nonstationary environments...
Dipankar Dasgupta, Douglas R. McGregor
PDPTA
2008
14 years 11 months ago
A Genetic Algorithm Based Dynamic Load Balancing Scheme for Heterogeneous Distributed Systems
- Load balancing is a crucial issue in parallel and distributed systems to ensure fast processing and optimum utilization of computing resources. Load balancing strategies try to e...
Bibhudatta Sahoo, Sudipta Mohapatra, Sanjay Kumar ...