Journal ArticleDOI
A direct solution approach based on constrained fuzzy arithmetic and metaheuristic for fuzzy transportation problems
Adil Baykasoğlu,Kemal Subulan +1 more
- Vol. 23, Iss: 5, pp 1667-1698
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TLDR
A novel direct solution approach for fully fuzzy transportation problems in which all of the model parameters as well as decision variables are considered as fuzzy numbers and embedded into a metaheuristic, namely priority-based PSO algorithm for generating new solution vectors and seeking for better fuzzy acceptable solutions.Abstract:
This paper presents a novel direct solution approach for fully fuzzy transportation problems in which all of the model parameters as well as decision variables are considered as fuzzy numbers. In d...read more
Citations
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An interval-stochastic programming based approach for a fully uncertain multi-objective and multi-mode resource investment project scheduling problem with an application to ERP project implementation
TL;DR: A novel interval programming and chance constrained optimization based hybrid solution approach for a fully uncertain, multi-objective and multi-mode resource investment project scheduling problem (MRIPSP) that produces more reliable and risk-free solutions according to the project manager's attitude toward risks.
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Analyzing a Two-Staged Multi-objective Transportation Problem Under Quantity Dependent Credit Period Policy Using q-fuzzy Number
TL;DR: This study addresses a two-staged multi-objective transportation problem to transport the products from a production house to some retailers through some distributors by minimizing total transportation cost of retailers and by maximizing total profit of distributors simultaneously.
Journal ArticleDOI
A novel lexicographic optimization method for solving shortest path problems with interval-valued triangular fuzzy arc weights
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An interval programming based approach for fully uncertain resource-constrained project scheduling problem considering project manager’s attitude toward risk
TL;DR: The computational results have shown that more applicable and information efficient project schedules can be derived via the proposed approach according to the project manager’s attitude toward risk.
Journal ArticleDOI
Credit linked two-stage multi-objective transportation problem in rough and bi-rough environments
TL;DR: A two-stage multi-objective transportation problem by considering credit period policy under rough and bi-rough environments is investigated and the mathematical model of the considered transportation problem has been illustrated and solved by applying NSGA-II algorithm.
References
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A new optimizer using particle swarm theory
TL;DR: The optimization of nonlinear functions using particle swarm methodology is described and implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm.
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The concept of a linguistic variable and its application to approximate reasoning—II☆
TL;DR: Much of what constitutes the core of scientific knowledge may be regarded as a reservoir of concepts and techniques which can be drawn upon to construct mathematical models of various types of systems and thereby yield quantitative information concerning their behavior.
Book
Genetic algorithms and engineering design
光男 玄,Runwei Cheng +1 more
TL;DR: Findings of Genetic Algorithms and Selected Topics in Engineering Design help solve problems in optimization, including Flow-Shop Sequencing Problems, Machine Scheduling Problems, and Facility Layout Design Problems.
MonographDOI
Genetic algorithms and engineering optimization
Mitsuo Gen,Runwei Cheng +1 more
TL;DR: This paper presents a meta-modelling framework that automates the very labor-intensive and therefore time-heavy and therefore expensive and labor-heavy process of designing and solving optimization problems.
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Introduction to Fuzzy Arithmetic, Theory and Applications.
TL;DR: This book introduced many novel mathematical operations based on this concept of level of confidence and have presented many generalizations, and presented several operations and functions of fuzzy numbers, such as integer modulo operations, trigonometric functions, and hyperbolic functions.
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