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» Optimal Power Flow Based on Hybrid Genetic Algorithm
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GECCO
2004
Springer
164views Optimization» more  GECCO 2004»
14 years 25 days ago
Fuzzy Dominance Based Multi-objective GA-Simplex Hybrid Algorithms Applied to Gene Network Models
Hybrid algorithms that combine genetic algorithms with the Nelder-Mead simplex algorithm have been effective in solving certain optimization problems. In this article, we apply a s...
Praveen Koduru, Sanjoy Das, Stephen Welch, Judith ...
ICAISC
2010
Springer
13 years 9 months ago
UMTS Base Station Location Planning with Invasive Weed Optimization
The problem of finding optimal locations of base stations, their pilot powers and channel assignments in UMTS mobile networks belongs to a class of NP-hard problems, and hence, me...
Rafal Zdunek, Tomasz Ignor
DAC
2008
ACM
14 years 8 months ago
Automatic package and board decoupling capacitor placement using genetic algorithms and M-FDM
In the design of complex power distribution networks (PDN) with multiple power islands, it is required that the PDN represents a low impedance as seen by the digital modules. This...
Krishna Bharath, Ege Engin, Madhavan Swaminathan
TSE
2010
136views more  TSE 2010»
13 years 5 months ago
A Theoretical and Empirical Study of Search-Based Testing: Local, Global, and Hybrid Search
Search based optimization techniques have been applied to structural software test data generation since 1992, with a recent upsurge in interest and activity within this area. How...
Mark Harman, Phil McMinn
AMC
2007
129views more  AMC 2007»
13 years 7 months ago
Multi-objective task allocation in distributed computing systems by hybrid particle swarm optimization
In a distributed computing system (DCS), we need to allocate a number of modules to different processors for execution. It is desired to maximize the processor synergism in order...
Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang, Yi-Te...