Evolutionary Scheduling - Studies in Computational Intelligence
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Published By Springer Berlin Heidelberg

9783540485827, 9783540485841

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Genetic-Algorithm-Based Reconfigurable Scheduler

Evolutionary Scheduling - Studies in Computational Intelligence ◽

10.1007/978-3-540-48584-1_21 ◽

2007 ◽

pp. 577-611

Author(s):

David Montana ◽

Talib Hussain ◽

Gordon Vidaver

Keyword(s):

Genetic Algorithm

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An Evolutionary Approach for Solving the Multi-Objective Job-Shop Scheduling Problem

Evolutionary Scheduling - Studies in Computational Intelligence ◽

10.1007/978-3-540-48584-1_7 ◽

2007 ◽

pp. 165-195 ◽

Cited By ~ 14

Author(s):

Kazi Shah Nawaz Ripon ◽

Chi-Ho Tsang ◽

Sam Kwong

Keyword(s):

Job Shop ◽

Job Shop Scheduling ◽

Evolutionary Approach ◽

Scheduling Problem ◽

Job Shop Scheduling Problem ◽

Shop Scheduling ◽

Multi Objective

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Scheduling of Flow-Shop, Job-Shop, and Combined Scheduling Problems using MOEAs with Fixed and Variable Length Chromosomes

Evolutionary Scheduling - Studies in Computational Intelligence ◽

10.1007/978-3-540-48584-1_3 ◽

2007 ◽

pp. 49-99 ◽

Cited By ~ 5

Author(s):

Mark P. Kleeman ◽

Gary B. Lamont

Keyword(s):

Job Shop ◽

Flow Shop ◽

Variable Length ◽

Scheduling Problems

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Memetic Algorithms in Planning, Scheduling, and Timetabling

Evolutionary Scheduling - Studies in Computational Intelligence ◽

10.1007/978-3-540-48584-1_1 ◽

2007 ◽

pp. 1-30 ◽

Cited By ~ 11

Author(s):

Carlos Cotta ◽

Antonio J. Fernàndez

Keyword(s):

Memetic Algorithms

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Simultaneous Planning and Scheduling for Multi-Autonomous Vehicles

Evolutionary Scheduling - Studies in Computational Intelligence ◽

10.1007/978-3-540-48584-1_16 ◽

2007 ◽

pp. 437-464 ◽

Cited By ~ 10

Author(s):

D. K. Liu ◽

A. K. Kulatunga

Keyword(s):

Autonomous Vehicles ◽

Planning And Scheduling

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Hybrid Particle Swarm Optimizers in the Single Machine Scheduling Problem: An Experimental Study

Evolutionary Scheduling - Studies in Computational Intelligence ◽

10.1007/978-3-540-48584-1_6 ◽

2007 ◽

pp. 143-164 ◽

Cited By ~ 2

Author(s):

Leticia Cagnina ◽

Susana Esquivel ◽

Carlos A. Coello Coello

Keyword(s):

Experimental Study ◽

Single Machine ◽

Particle Swarm ◽

Machine Scheduling ◽

Single Machine Scheduling ◽

Scheduling Problem ◽

Hybrid Particle

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Evolutionary Algorithm for an Inventory Location Problem

Evolutionary Scheduling - Studies in Computational Intelligence ◽

10.1007/978-3-540-48584-1_22 ◽

2007 ◽

pp. 613-628 ◽

Cited By ~ 4

Author(s):

Ek Peng Chew ◽

Loo Hay Lee ◽

Kanshukan Rajaratnam

Keyword(s):

Evolutionary Algorithm ◽

Location Problem

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Multi-Objective Evolutionary Algorithm for University Class Timetabling Problem

Evolutionary Scheduling - Studies in Computational Intelligence ◽

10.1007/978-3-540-48584-1_8 ◽

2007 ◽

pp. 197-236 ◽

Cited By ~ 11

Author(s):

Dilip Datta ◽

Kalyanmoy Deb ◽

Carlos M. Fonseca

Keyword(s):

Evolutionary Algorithm ◽

Timetabling Problem ◽

Multi Objective

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Optimum Oil Production Planning using an Evolutionary Approach

Evolutionary Scheduling - Studies in Computational Intelligence ◽

10.1007/978-3-540-48584-1_10 ◽

2007 ◽

pp. 273-292 ◽

Cited By ~ 6

Author(s):

Tapabrata Ray ◽

Ruhul Sarker

Keyword(s):

Production Planning ◽

Oil Production ◽

Evolutionary Approach

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Designing Dispatching Rules to Minimize Total Tardiness

Evolutionary Scheduling - Studies in Computational Intelligence ◽

10.1007/978-3-540-48584-1_4 ◽

2007 ◽

pp. 101-124 ◽

Cited By ~ 2

Author(s):

Joc Cing Tay ◽

Nhu Binh Ho

Keyword(s):

Total Tardiness ◽

Dispatching Rules

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Evolutionary Scheduling - Studies in Computational IntelligenceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Berlin Heidelberg

A Genetic-Algorithm-Based Reconfigurable Scheduler

An Evolutionary Approach for Solving the Multi-Objective Job-Shop Scheduling Problem

Scheduling of Flow-Shop, Job-Shop, and Combined Scheduling Problems using MOEAs with Fixed and Variable Length Chromosomes

Memetic Algorithms in Planning, Scheduling, and Timetabling

Simultaneous Planning and Scheduling for Multi-Autonomous Vehicles

Hybrid Particle Swarm Optimizers in the Single Machine Scheduling Problem: An Experimental Study

Evolutionary Algorithm for an Inventory Location Problem

Multi-Objective Evolutionary Algorithm for University Class Timetabling Problem

Optimum Oil Production Planning using an Evolutionary Approach

Designing Dispatching Rules to Minimize Total Tardiness

Evolutionary Scheduling - Studies in Computational Intelligence
Latest Publications