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» Heuristic Methods for Solving Job-Shop Scheduling Problems
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171
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GECCO
2011
Springer
261views Optimization» more  GECCO 2011»
14 years 7 months ago
Spacing memetic algorithms
We introduce the Spacing Memetic Algorithm (SMA), a formal evolutionary model devoted to a systematic control of spacing (distances) among individuals. SMA uses search space dista...
Daniel Cosmin Porumbel, Jin-Kao Hao, Pascale Kuntz
132
Voted
GECCO
2006
Springer
155views Optimization» more  GECCO 2006»
15 years 7 months ago
Comparison of genetic representation schemes for scheduling soft real-time parallel applications
This paper presents a hybrid technique that combines List Scheduling (LS) with Genetic Algorithms (GA) for constructing non-preemptive schedules for soft real-time parallel applic...
Yoginder S. Dandass, Amit C. Bugde
120
Voted
ANOR
2008
123views more  ANOR 2008»
15 years 3 months ago
An approach to predictive-reactive scheduling of parallel machines subject to disruptions
: In this paper, a new predictive-reactive approach to a parallel machine scheduling problem in the presence of uncertain disruptions is presented. The approach developed is based ...
Alejandra Duenas, Dobrila Petrovic
65
Voted
GECCO
2005
Springer
15 years 9 months ago
On the practical genetic algorithms
This paper offers practical design-guidelines for developing efficient genetic algorithms (GAs) to successfully solve realworld problems. As an important design component, a prac...
Chang Wook Ahn, Sanghoun Oh, Rudrapatna S. Ramakri...
106
Voted
COR
2006
108views more  COR 2006»
15 years 3 months ago
Variable neighborhood search and local branching
In this paper we develop a variable neighborhood search (VNS) heuristic for solving mixed-integer programs (MIPs). It uses CPLEX, the general-purpose MIP solver, as a black-box. N...
Pierre Hansen, Nenad Mladenovic, Dragan Urosevic