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» Optimal Power Flow Based on Hybrid Genetic Algorithm
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ICCAD
2001
IEEE
201views Hardware» more  ICCAD 2001»
14 years 4 months ago
An Integrated Data Path Optimization for Low Power Based on Network Flow Method
Abstract: We propose an effective algorithm for power optimization in behavioral synthesis. In previous work, it has been shown that several hardware allocation/binding problems fo...
Chun-Gi Lyuh, Taewhan Kim, Chien-Liang Liu
EC
2008
120views ECommerce» more  EC 2008»
13 years 7 months ago
Genetic Algorithms with Memory- and Elitism-Based Immigrants in Dynamic Environments
In recent years the genetic algorithm community has shown a growing interest in studying dynamic optimization problems. Several approaches have been devised. The random immigrants...
Shengxiang Yang
AHS
2006
IEEE
108views Hardware» more  AHS 2006»
13 years 9 months ago
A Multi-Objective Genetic Algorithm for On-Chip Real-time Adaptation of a Multi-Carrier Based Telecommunications Receiver
This paper presents a multi-objective algorithm for on-line adaptation of a multi-carrier code-division multiple access (MC-CDMA) receiver. A specially tailored Genetic Algorithm ...
Nasri Sulaiman, Ahmet T. Erdogan
HICSS
2007
IEEE
109views Biometrics» more  HICSS 2007»
14 years 1 months ago
Towards Reliable Computation of Large-Scale Market-Based Optimal Power Flow
The deregulated electricity market calls for robust OPF tools that can provide (a) deterministic convergence, (b) accurate computation of a variety of nodal prices, (c) support of...
Hongye Wang, Robert J. Thomas
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolving cooperative behavior in a power market
This paper presents an evolutionary algorithm to develop cooperative strategies for power buyers in a deregulated electrical power market. Cooperative strategies are evolved throu...
Dipti Srinivasan, Dakun Woo, Lily Rachmawati, Kong...