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Random Keys Genetic Algorithms Applied to Multiobjective Scheduling Problem

Random Keys Genetic Algorithms Applied to Multiobjective Scheduling Problem PDF Author: Uday P. Haral
Publisher:
ISBN:
Category :
Languages : en
Pages : 224

Book Description


Random Keys Genetic Algorithms Applied to Multiobjective Scheduling Problem

Random Keys Genetic Algorithms Applied to Multiobjective Scheduling Problem PDF Author: Uday P. Haral
Publisher:
ISBN:
Category :
Languages : en
Pages : 224

Book Description


Multiobjective Scheduling by Genetic Algorithms

Multiobjective Scheduling by Genetic Algorithms PDF Author: Tapan P. Bagchi
Publisher: Springer Science & Business Media
ISBN: 1461552370
Category : Business & Economics
Languages : en
Pages : 369

Book Description
Multiobjective Scheduling by Genetic Algorithms describes methods for developing multiobjective solutions to common production scheduling equations modeling in the literature as flowshops, job shops and open shops. The methodology is metaheuristic, one inspired by how nature has evolved a multitude of coexisting species of living beings on earth. Multiobjective flowshops, job shops and open shops are each highly relevant models in manufacturing, classroom scheduling or automotive assembly, yet for want of sound methods they have remained almost untouched to date. This text shows how methods such as Elitist Nondominated Sorting Genetic Algorithm (ENGA) can find a bevy of Pareto optimal solutions for them. Also it accents the value of hybridizing Gas with both solution-generating and solution-improvement methods. It envisions fundamental research into such methods, greatly strengthening the growing reach of metaheuristic methods. This book is therefore intended for students of industrial engineering, operations research, operations management and computer science, as well as practitioners. It may also assist in the development of efficient shop management software tools for schedulers and production planners who face multiple planning and operating objectives as a matter of course.

Random Keys Genetic Algorithm for Scheduling: Unabridged Version

Random Keys Genetic Algorithm for Scheduling: Unabridged Version PDF Author: Bryan Norman
Publisher:
ISBN:
Category :
Languages : en
Pages : 42

Book Description


A Genetic algorithm Methology for Complex Scheduling Problems

A Genetic algorithm Methology for Complex Scheduling Problems PDF Author: Bryan A. Norman, James C. Bean
Publisher:
ISBN:
Category :
Languages : en
Pages : 27

Book Description


Network Models and Optimization

Network Models and Optimization PDF Author: Mitsuo Gen
Publisher: Springer Science & Business Media
ISBN: 1848001819
Category : Technology & Engineering
Languages : en
Pages : 692

Book Description
Network models are critical tools in business, management, science and industry. “Network Models and Optimization” presents an insightful, comprehensive, and up-to-date treatment of multiple objective genetic algorithms to network optimization problems in many disciplines, such as engineering, computer science, operations research, transportation, telecommunication, and manufacturing. The book extensively covers algorithms and applications, including shortest path problems, minimum cost flow problems, maximum flow problems, minimum spanning tree problems, traveling salesman and postman problems, location-allocation problems, project scheduling problems, multistage-based scheduling problems, logistics network problems, communication network problem, and network models in assembly line balancing problems, and airline fleet assignment problems. The book can be used both as a student textbook and as a professional reference for practitioners who use network optimization methods to model and solve problems.

AI 2019: Advances in Artificial Intelligence

AI 2019: Advances in Artificial Intelligence PDF Author: Jixue Liu
Publisher: Springer Nature
ISBN: 3030352889
Category : Computers
Languages : en
Pages : 622

Book Description
This book constitutes the proceedings of the 32nd Australasian Joint Conference on Artificial Intelligence, AI 2019, held in Adelaide, SA, Australia, in December 2019. The 48 full papers presented in this volume were carefully reviewed and selected from 115 submissions. The paper were organized in topical sections named: game and multiagent systems; knowledge acquisition, representation, reasoning; machine learning and applications; natural language processing and text analytics; optimization and evolutionary computing; and image processing.

Metaheuristics for Multiobjective Optimisation

Metaheuristics for Multiobjective Optimisation PDF Author: Xavier Gandibleux
Publisher: Springer Science & Business Media
ISBN: 3642171443
Category : Mathematics
Languages : en
Pages : 252

Book Description
The success of metaheuristics on hard single-objective optimization problems is well recognized today. However, many real-life problems require taking into account several conflicting points of view corresponding to multiple objectives. The use of metaheuristic optimization techniques for multi-objective problems is the subject of this volume. The book includes selected surveys, tutorials and state-of-the-art research papers in this field, which were first presented at a free workshop jointly organized by the French working group on Multi-objective Mathematical Programming (PM2O) and the EURO working group on Metaheuristics in December 2002. It is the first book which considers both various metaheuristics and various kind of problems (e.g. combinatorial problems, real situations, non-linear problems) applied to multiple objective optimization. Metaheuristics used include: genetic algorithms, ant colony optimization, simulated annealing, scatter search, etc. Problems concern timetabling, vehicle routing, and more. Methodological aspects, such as quality evaluation, are also covered.

Computational Logistics

Computational Logistics PDF Author: Martijn Mes
Publisher: Springer Nature
ISBN: 3030876721
Category : Computers
Languages : en
Pages : 667

Book Description
This book constitutes the refereed proceedings of the 12th International Conference on Computational Logistics, ICCL 2021, held in September 2021. Due to COVID-19 pandemic the conference was held virtually. The 42 full papers were carefully reviewed and selected from 111 submissions. They detail the interface of complex logistics systems and advanced computational methods from the fields of operations research, business analytics, and artificial intelligence. The papers are organized in topical sections named maritime and port logistics; supply chain and production management; urban transport and collaborative logistics; routing, dispatching, and scheduling; air logistics and multi-modal transport.

Random Keys Genetic Algorithms Scheduling and Rescheduling System for Common Production Systems

Random Keys Genetic Algorithms Scheduling and Rescheduling System for Common Production Systems PDF Author: Elkin Rodríguez-Velásquez
Publisher:
ISBN:
Category : Genetic algorithms
Languages : en
Pages : 216

Book Description


Evolutionary Scheduling

Evolutionary Scheduling PDF Author: Keshav Dahal
Publisher: Springer Science & Business Media
ISBN: 3540485821
Category : Computers
Languages : en
Pages : 631

Book Description
Evolutionary scheduling is a vital research domain at the interface of artificial intelligence and operational research. This edited book gives an overview of many of the current developments in the large and growing field of evolutionary scheduling. It demonstrates the applicability of evolutionary computational techniques to solve scheduling problems, not only to small-scale test problems, but also fully-fledged real-world problems.