Special Issue "Hybrid Intelligent Algorithms"

A special issue of Algorithms (ISSN 1999-4893).

Deadline for manuscript submissions: 15 May 2020.

Special Issue Editors

Dr. Grigorios N. Beligiannis
E-Mail Website
Guest Editor
Department of Business Administration of Food and Agricultural Enterprises, University of Patras, G. Seferi 2, 30100 Agrinio, Greece
Interests: artificial intelligence; computational intelligence; intelligent information systems
Dr. Efstratios F. Georgopoulos
E-Mail Website
Guest Editor
Technological Educational Institute (T.E.I.) of Peloponnese, 24100 Kalamata, Greece
Interests: Computational Intelligence; Artificial Neural Networks; Evolutionary Algorithms; Machine Learning; Data Analysis; Mathematical Modelling; System Modelling; Signals and Systems; Time Series; Computational Finance
Prof. Dr. Spiridon D. Likothanassis
E-Mail Website
Guest Editor
Department of Computer Engineering & Informatics, University of Patras, ΤΚ 26500, Patras, Greece
Interests: Computational and Artificial Intelligence; Intelligent Agent Systems; Computational Biology and Bioinformatics; Knowledge Management; Cloud Computing and Big Data Analytics
Special Issues and Collections in MDPI journals
Dr. Isidoros Perikos
E-Mail Website
Guest Editor
Department of Computer Engineering & Informatics, University of Patras, 26504 Rio, Greece
Interests: Artificial Intelligence; Learning Technologies; Hybrid Systems; Natural Language Processing; Virtual Reality
Dr. Ioannis X. Tassopoulos
E-Mail Website
Guest Editor
Department of Business Administration of Food and Agricultural Enterprises, University of Patras, 30100 Agrinio, Greece
Interests: Artificial Intelligence; Computational Intelligence; Intelligent Information Systems

Special Issue Information

Dear Colleagues,

Combining intelligent algorithms coming from different computational intelligence areas to solve difficult real world problems, and especially their hybridization, has become very popular in recent decades. This is mainly due to the growing awareness that the application of hybrid intelligent algorithms results most of the time to better performance than applying individual computational intelligence algorithms, such as neural networks, evolutionary algorithms, fuzzy systems, particle swarm optimization, etc. The application of such hybrid intelligent schemes has indicated that hybrid intelligence algorithms succeed in solving some very difficult real world problems in which the application of deterministic or individual computational intelligence algorithms is either not possible or extremely time-consuming. In a hybrid intelligence system, a synergistic combination of multiple intelligent techniques is used to build an efficient solution to deal effectively with a particular problem. This Special Issue will comprise papers focused on hybrid intelligent algorithms following different approaches and their real world applications.

Dr. Grigorios N. Beligiannis
Prof. Dr. Spiridon Likothannassis
Dr. Ioannis X. Tassopoulos
Dr. Efstratios F. Georgopoulos
Dr. Isidoros Perikos
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Algorithms is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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Research

Open AccessArticle
Enhancing Backtracking Search Algorithm using Reflection Mutation Strategy Based on Sine Cosine
Algorithms 2019, 12(11), 225; https://doi.org/10.3390/a12110225 - 28 Oct 2019
Abstract
Backtracking Search Algorithm (BSA) is a younger population-based evolutionary algorithm and widely researched. Due to the introduction of historical population and no guidance toward to the best individual, BSA does not adequately use the information in the current population, which leads to a [...] Read more.
Backtracking Search Algorithm (BSA) is a younger population-based evolutionary algorithm and widely researched. Due to the introduction of historical population and no guidance toward to the best individual, BSA does not adequately use the information in the current population, which leads to a slow convergence speed and poor exploitation ability of BSA. To address these drawbacks, a novel backtracking search algorithm with reflection mutation based on sine cosine is proposed, named RSCBSA. The best individual found so far is employed to improve convergence speed, while sine and cosine math models are introduced to enhance population diversity. To sufficiently use the information in the historical population and current population, four individuals are selected from the historical or current population randomly to construct an unit simplex, and the center of the unit simplex can enhance exploitation ability of RSCBSA. Comprehensive experimental results and analyses show that RSCBSA is competitive enough with other state-of-the-art meta-heuristic algorithms. Full article
(This article belongs to the Special Issue Hybrid Intelligent Algorithms)
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