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GECCO
2005
Springer
112views Optimization» more  GECCO 2005»
16 years 5 days ago
Two improved differential evolution schemes for faster global search
Differential evolution (DE) is well known as a simple and efficient scheme for global optimization over continuous spaces. In this paper we present two new, improved variants of D...
Swagatam Das, Amit Konar, Uday Kumar Chakraborty
ICCS
2005
Springer
16 years 5 days ago
Improved Tag Set Design and Multiplexing Algorithms for Universal Arrays
In this paper we address two optimization problems arising in the design of genomic assays based on universal tag arrays. First, we address the universal array tag set design probl...
Ion I. Mandoiu, Claudia Prajescu, Dragos Trinca
GECCO
2004
Springer
103views Optimization» more  GECCO 2004»
16 years 1 days ago
Using a Genetic Algorithm to Design and Improve Storage Area Network Architectures
Abstract. Designing storage area networks is an NP-hard problem. Previous work has focused on traditional algorithmic techniques to automatically determine fabric requirements, net...
Elizabeth Dicke, Andrew Byde, Paul J. Layzell, Dav...
GECCO
2004
Springer
16 years 1 days ago
Non-stationary Subtasks Can Improve Diversity in Stationary Tasks
Low diversity in a genetic algorithm (GA) can cause the search to become stagnant upon reaching a local optimum. To some extent, non-stationary tasks avoid this problem, which woul...
Christopher Willis-Ford, Terence Soule
ICCS
2004
Springer
16 years 1 days ago
Improved Sampling for Biological Molecules Using Shadow Hybrid Monte Carlo
Shadow Hybrid Monte Carlo (SHMC) is a new method for sampling the phase space of large biological molecules. It improves sampling by allowing larger time steps and system sizes in ...
Scott S. Hampton, Jesús A. Izaguirre