Evolutionary Computation in Scheduling 1st Edition

Evolutionary Computation in Scheduling 1st Edition – Ebook Instant Download/Delivery ISBN(s): 9781119573845,111957384X

Product details:

• ISBN 13:9781119573876
• Author:  Amir H. Gandomi , Kalyanmoy Deb , Ali Emrouznejad, Iman Rahimi, Mo M. Jamshidi

This book provides insight into the use of evolutionary computations (EC) in real-world scheduling, showing readers how to choose a specific evolutionary computation and how to validate the results using metrics and statistics. It offers a spectrum of real-world optimization problems, including applications of EC in industry and service organizations such as healthcare scheduling, aircraft industry, school timetabling, manufacturing systems, and transportation scheduling in the supply chain. It also features problems with different degrees of complexity, practical requirements, user constraints, and MOEC solution approaches.

Evolutionary Computation in Scheduling starts with a chapter on scientometric analysis to analyze scientific literature in evolutionary computation in scheduling. It then examines the role and impacts of ant colony optimization (ACO) in job shop scheduling problems, before presenting the application of the ACO algorithm in healthcare scheduling. Other chapters explore task scheduling in heterogeneous computing systems and truck scheduling using swarm intelligence, application of sub-population scheduling algorithm in multi-population evolutionary dynamic optimization, task scheduling in cloud environments, scheduling of robotic disassembly in remanufacturing using the bees algorithm, and more

Table contents:

1 Evolutionary Computation in Scheduling: A Scientometric Analysis

2 Role and Impacts of Ant Colony Optimization in Job Shop Scheduling Problems: A Detailed Analysis

3 Advanced Ant Colony Optimization in Healthcare Scheduling

4 Task Scheduling in Heterogeneous Computing Systems Using Swarm Intelligence

5 Computationally Efficient Scheduling Schemes for Multiple Antenna Systems Using Evolutionary Algorithms and Swarm Optimization

6 An Efficient Modified Red Deer Algorithm to Solve a Truck Scheduling Problem Considering Time Windows and Deadline for Trucks’ Departure

7 Application of Sub-Population Scheduling Algorithm in Multi-Population Evolutionary Dynamic Optimization

8 Task Scheduling in Cloud Environments: A Survey of Population-Based Evolutionary Algorithms

9 Scheduling of Robotic Disassembly in Remanufacturing Using Bees Algorithms

10 A Modified Fireworks Algorithm to Solve the Heat and Power Generation Scheduling Problem in Power System Studies

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