Journal ArticleDOI
Ant colony optimization with dynamic parameter adaptation based on interval type-2 fuzzy logic systems
Frumen Olivas,Fevrier Valdez,Oscar Castillo,Claudia I. Gonzalez,Gabriela E. Martinez,Patricia Melin +5 more
- Vol. 53, pp 74-87
Reads0
Chats0
TLDR
A dynamic parameter adaptation methodology for Ant Colony Optimization (ACO) based on interval type-2 fuzzy systems is presented, to be able to apply this new ACO method with parameter adaptation to a wide variety of problems without the need of finding the best parameters for each particular problem.Abstract:
Display Omitted Dynamic parameter adaptation approach ACO based on interval type-2 fuzzy systems.Apply this method to a variety of problems without finding the best parameters.Fuzzy logic controls the diversity of the solutions. A dynamic parameter adaptation methodology for Ant Colony Optimization (ACO) based on interval type-2 fuzzy systems is presented in this paper. The idea is to be able to apply this new ACO method with parameter adaptation to a wide variety of problems without the need of finding the best parameters for each particular problem. We developed several fuzzy systems for parameter adaptation and a comparison was made among them to decide on the best design. The use of fuzzy logic is to control the diversity of the solutions, and in this way controlling the exploration and exploitation abilities of ACO. The travelling salesman problem (TSP) and the design of a fuzzy controller for an autonomous mobile robot are the benchmark problems used to test the proposed methodology.read more
Citations
More filters
Journal ArticleDOI
A novel nature-inspired algorithm for optimization: Squirrel search algorithm
TL;DR: This optimizer imitates the dynamic foraging behaviour of southern flying squirrels and their efficient way of locomotion known as gliding and provides more accurate solutions with high convergence rate as compared to other existing optimizers.
Journal ArticleDOI
Parameter adaptation-based ant colony optimization with dynamic hybrid mechanism
TL;DR: In this paper , a parameter adaptation-based ant colony optimization algorithm based on particle swarm optimization (PSO) algorithm with the global optimization ability, fuzzy system with the fuzzy reasoning ability and 3-Opt algorithm with local search ability, namely PF3SACO is proposed to improve the optimization ability and convergence, avoid to fall into local optimum.
Journal ArticleDOI
Target Disassembly Sequencing and Scheme Evaluation for CNC Machine Tools Using Improved Multiobjective Ant Colony Algorithm and Fuzzy Integral
TL;DR: Both theoretical and simulation results demonstrate that the proposed approach can perform the quantitative analysis of a disassembly process effectively and can help decision makers select the best plans and sequences when executing a dis assembly process of a product.
Journal ArticleDOI
A novel multi-objective evolutionary algorithm with fuzzy logic based adaptive selection of operators: FAME
Alejandro Santiago,Bernabé Dorronsoro,Antonio J. Nebro,Juan J. Durillo,Oscar Castillo,Héctor J. Fraire +5 more
TL;DR: This paper compares FAME with a number of state of the art algorithms (MOEA/D-DE, SMEA, SMPSOhv, SMS-EMOA, and BORG) and shows that FAME achieves the best overall performance.
Journal ArticleDOI
Probabilistic Forecasting With Fuzzy Time Series
Petronio Candido de Lima e Silva,Hossein Javedani Sadaei,Rosangela Ballini,Frederico Gadelha Guimarães +3 more
TL;DR: A new forecasting approach based on fuzzy time series (FTS) that takes advantage of fuzzy and stochastic patterns on data and is capable to deal with point, interval, and distribution forecasts is proposed.
References
More filters
Book
Fuzzy sets
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Journal ArticleDOI
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.
Journal ArticleDOI
Ant system: optimization by a colony of cooperating agents
TL;DR: It is shown how the ant system (AS) can be applied to other optimization problems like the asymmetric traveling salesman, the quadratic assignment and the job-shop scheduling, and the salient characteristics-global data structure revision, distributed communication and probabilistic transitions of the AS.
Journal ArticleDOI
Ant colony system: a cooperative learning approach to the traveling salesman problem
TL;DR: The results show that the ACS outperforms other nature-inspired algorithms such as simulated annealing and evolutionary computation, and it is concluded comparing ACS-3-opt, a version of the ACS augmented with a local search procedure, to some of the best performing algorithms for symmetric and asymmetric TSPs.