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TEC
2002
108views more  TEC 2002»
14 years 12 months ago
Analysis and modeling of control tasks in dynamic systems
Most applications of evolutionary algorithms (EAs) deal with static optimization problems. However, in recent years, there has been a growing interest in timevarying (dynamic) prob...
Rasmus K. Ursem, Thiemo Krink, Mikkel T. Jensen, Z...
GECCO
2000
Springer
170views Optimization» more  GECCO 2000»
15 years 4 months ago
A Comparison of Genetic Algorithms for the Dynamic Job Shop Scheduling Problem
The majority of the research using evolutionary algorithms for the Job Shop Scheduling Problem (JSSP) has studied only the static JSSP. Few evolutionary algorithms have been appli...
Manuel Vázquez, L. Darrell Whitley
CEC
2005
IEEE
15 years 6 months ago
Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems
Several approaches have been developed into evolutionary algorithms to deal with dynamic optimization problems, of which memory and random immigrants are two major schemes. This pa...
Shengxiang Yang
GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
15 years 7 months ago
Evolutionary algorithms and dynamic programming
Recently, it has been proven that evolutionary algorithms produce good results for a wide range of combinatorial optimization problems. Some of the considered problems are tackled...
Benjamin Doerr, Anton Eremeev, Christian Horoba, F...
110
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MICAI
2007
Springer
15 years 6 months ago
Hybrid Evolutionary Algorithm for Flowtime Minimisation in No-Wait Flowshop Scheduling
This research presents a novel approach to solve m-machine no-wait flowshop scheduling problem. A continuous flowshop problem with total flowtime as criterion is considered appl...
Geraldo Ribeiro Filho, Marcelo Seido Nagano, Luiz ...