Metaheuristic scheduling for cloud: A survey

CW Tsai, JJPC Rodrigues - IEEE Systems Journal, 2013 - ieeexplore.ieee.org
Cloud computing has become an increasingly important research topic given the strong
evolution and migration of many network services to such computational environment. The …

Intelligent systems in process engineering: A review

G Stephanopoulos, C Han - Computers & Chemical Engineering, 1996 - Elsevier
The purpose of this review is three-fold. First, sketch the directions that research and
industrial applications of “intelligent systems” have taken in several areas of process …

The job shop scheduling problem: Conventional and new solution techniques

J Błażewicz, W Domschke, E Pesch - European journal of operational …, 1996 - Elsevier
A job shop consists of a set of different machines (like lathes, milling machines, drills etc.)
that perform operations on jobs. Each job has a specified processing order through the …

Evolution based learning in a job shop scheduling environment

U Dorndorf, E Pesch - Computers & Operations Research, 1995 - Elsevier
A class of approximation algorithms is described for solving the minimum makespan
problem of job shop scheduling. A common basis of these algorithms is the underlying …

[PDF][PDF] A genetic algorithm for resource-constrained scheduling

MB Wall - 1996 - dspace.mit.edu
This work describes a genetic algorithm approach to resource-constrained scheduling using
a direct, time-based representation. Whereas traditional solution methods are typically …

[BOOK][B] An indexed bibliography of genetic algorithms: Years 1957-1993

JT Alander - 1994 - Citeseer
An Indexed Bibliography of Genetic Algorithms: Years 1957-1993 Page 1 An Indexed
Bibliography of Genetic Algorithms: Years 1957-1993 compiled by Jarmo T. Alander …

Nonlinear programming and genetic search application for production scheduling in coal mines

PC Pendharkar, JA Rodger - Annals of Operations Research, 2000 - Springer
Efforts to eliminate unnecessary scheduling and inventory problems faced by the coal
industry today initiated the development of a generalized, nonlinear programming model …

Learning IF–THEN priority rules for dynamic job shops using genetic algorithms

M Kapanoglu, M Alikalfa - Robotics and Computer-Integrated …, 2011 - Elsevier
Performing complex, informed priority rules might pose a challenge for traditional operator-
driven systems. However, computer-integrated manufacturing systems may significantly …

[BOOK][B] Reinforcement learning for job shop scheduling

W Zhang - 1996 - search.proquest.com
This dissertation studies applying reinforcement learning algorithms to discover good
domain-specific heuristics automatically for job-shop scheduling. It focuses on the NASA …

[BOOK][B] OmeGA: A competent genetic algorithm for solving permutation and scheduling problems

D Knjazew - 2012 - books.google.com
OmeGA: A Competent Genetic Algorithm for Solving Permutation and Scheduling Problems
addresses two increasingly important areas in GA implementation and practice. OmeGA, or …