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» Hybrid Optimizations: Which Optimization Algorithm to Use
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142
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CEC
2010
IEEE
15 years 4 months ago
Adaptive learning particle swarm optimizer-II for global optimization
This paper presents an updated version of the adaptive learning particle swarm optimizer (ALPSO) [6], we call it ALPSO-II. In order to improve the performance of ALPSO on multi-mod...
Changhe Li, Shengxiang Yang
100
Voted
CORR
2010
Springer
180views Education» more  CORR 2010»
15 years 10 days ago
A Hybrid RTS-BP Algorithm for Improved Detection of Large-MIMO M-QAM Signals
Abstract--Low-complexity near-optimal detection of large-MIMO signals has attracted recent research. Recently, we proposed a local neighborhood search algorithm, namely reactive ta...
Tanumay Datta, N. Srinidhi, Ananthanarayanan Chock...
WSC
2008
15 years 6 months ago
The improved sweep metaheuristic for simulation optimization and application to job shop scheduling
We present an improved sweep metaheuristic for discrete event simulation optimization. The sweep algorithm is a tree search similar to beam search. The basic idea is to run a limi...
George Jiri Mejtsky
136
Voted
PRICAI
2004
Springer
15 years 9 months ago
Constrained Ant Colony Optimization for Data Clustering
Processes that simulate natural phenomena have successfully been applied to a number of problems for which no simple mathematical solution is known or is practicable. Such meta-heu...
Shu-Chuan Chu, John F. Roddick, Che-Jen Su, Jeng-S...
123
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AUTOMATICA
1999
96views more  AUTOMATICA 1999»
15 years 3 months ago
Optimization of kanban-based manufacturing systems
We develop and analyze an algorithm to maximize the throughput of a serial kanbanbased manufacturing system with arbitrary arrival and service process distributions by adjusting t...
Christos G. Panayiotou, Christos G. Cassandras