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CEC
2008
IEEE
14 years 2 months ago
A parallel surrogate-assisted multi-objective evolutionary algorithm for computationally expensive optimization problems
Abstract— This paper presents a new efficient multiobjective evolutionary algorithm for solving computationallyintensive optimization problems. To support a high degree of parall...
Anna Syberfeldt, Henrik Grimm, Amos Ng, Robert Ivo...
CEC
2009
IEEE
14 years 2 months ago
Gradient estimation in global optimization algorithms
Abstract— The role of gradient estimation in global optimization is investigated. The concept of a regional gradient is introduced as a tool for analyzing and comparing different...
Megan Hazen, Maya R. Gupta
CIDU
2010
13 years 5 months ago
A Comparative Study Of Algorithms For Land Cover Change
Ecosystem-related observations from remote sensors on satellites offer huge potential for understanding the location and extent of global land cover change. This paper presents a c...
Shyam Boriah, Varun Mithal, Ashish Garg, Vipin Kum...
EC
2000
96views ECommerce» more  EC 2000»
13 years 7 months ago
Multiobjective Evolutionary Algorithms: Analyzing the State-of-the-Art
Solving optimization problems with multiple (often conflicting) objectives is, generally, a very difficult goal. Evolutionary algorithms (EAs) were initially extended and applied ...
David A. van Veldhuizen, Gary B. Lamont
IPPS
2008
IEEE
14 years 2 months ago
A parallel implementation of the Finite-Domain Time-Difference algorithm using MPJ express
This paper presents and evaluates a parallel Java implementation of the Finite-Difference Time-Domain (FDTD) method, which is a widely used numerical technique in computational el...
Aamir Shafi, Aftab Hussain, Jamil Raza