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Solution Models based on Symmetric and Asymmetric Information

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ISBN: 9783039210060 9783039210077 Year: Pages: 202 DOI: 10.3390/books978-3-03921-007-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Abstract

This Special Issue covers symmetry and asymmetry phenomena occurring in real-life problems. We invited authors to submit their theoretical or experimental research presenting engineering and economic problem solution models dealing with the symmetry or asymmetry of different types of information. The issue gained interest in the research community and received many submissions. After rigorous scientific evaluation by editors and reviewers, nine papers were accepted and published. The authors proposed different MADM and MODM solution models as integrated tools to find a balance between the components of sustainable global development, to find a symmetry axis concerning goals, risks, and constraints to cope with the complicated problems. Most approaches suggested decision models under uncertainty, combining the usual decision-making methods with interval-valued fuzzy or rough sets theory, also Z numbers. The application fields of the proposed models involved both problems of technological sciences and social sciences. The papers cover three essential areas: engineering, economy, and management. We hope that a summary of the Special Issue as provided here will encourage a detailed analysis of the papers included in the Printed Edition.

Keywords

multi-criteria decision-making (MCDM) --- group decision-making --- interval type-2 fuzzy set (IT2FS) --- subjective weights --- criteria weights --- Step-wise Weight Assessment Ratio Analysis (SWARA) --- multiple attribute decision making (MADM) --- neutrosophic numbers --- 2-tuple linguistic neutrosophic numbers set (2TLNNSs) --- Bonferroni mean (BM) operator --- generalized Bonferroni mean (GBM) operator --- dual generalized Bonferroni mean (DGBM) operator --- dual generalized geometric Bonferroni mean (DGGBM) operator --- green supplier selection --- green supply chain management --- Pythagorean fuzzy set --- normal cloud --- MCGDM --- backward cloud transformation --- MCDM --- the criteria of the weights --- Bayes’ theorem --- combining the weights --- symmetry of the method --- IDOCRIW --- FAHP --- evaluating the quality of distant courses --- optimal dividend --- capital injection --- salvage value --- transaction cost --- excess-of-loss reinsurance --- thrust --- data logger --- sensor --- quadcopter --- measurement --- control system --- stability --- data envelopment analysis --- Z-numbers --- full fuzzy environment --- fuzzy efficiency --- rough ARAS --- transport --- performance --- logistics --- MCDM --- probabilistic systems analysis --- nonlinear dynamics --- public management --- pattern formation --- resources distribution --- population sizes --- information theory --- oscillations --- hybrid problem solution models --- multiple-criteria decision-making (MCDM) --- hybrid MCDM --- criteria weight assessment --- fuzzy sets --- rough sets --- Z-numbers --- neutrosophic numbers --- Bonferroni mean (BM) operator --- engineering problems --- economic decisions

Evolutionary Computation

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ISBN: 9783039219285 9783039219292 Year: Pages: 424 DOI: 10.3390/books978-3-03921-929-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:16
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Computational intelligence is a general term for a class of algorithms designed by nature's wisdom and human intelligence. Computer scientists have proposed many computational intelligence algorithms with heuristic features. These algorithms either mimic the evolutionary processes of the biological world, mimic the physiological structure and bodily functions of the organism,

Keywords

artificial bee colony algorithm (ABC) --- cloud model --- normal cloud model --- Y conditional cloud generator --- global optimum --- evolution --- computation --- urban design --- biology --- shape grammar --- architecture --- SPEA 2 --- energy-efficient job shop scheduling --- dispatching rule --- nonlinear convergence factor --- mutation operation --- whale optimization algorithm --- particle swarm optimization --- confidence term --- random weight --- benchmark functions --- t-test --- success rates --- average iteration times --- set-union knapsack problem --- moth search algorithm --- transfer function --- discrete algorithm --- evolutionary multi-objective optimization --- convergence point --- acceleration search --- evolutionary computation --- optimization --- bat algorithm (BA) --- bat algorithm with multiple strategy coupling (mixBA) --- CEC2013 benchmarks --- Wilcoxon test --- Friedman test --- facility layout design --- single loop --- monarch butterfly optimization --- slicing tree structure --- material handling path --- integrated design --- wireless sensor networks (WSNs) --- DV-Hop algorithm --- multi-objective DV-Hop localization algorithm --- NSGA-II-DV-Hop --- first-arrival picking --- fuzzy c-means --- particle swarm optimization --- range detection --- minimum total dominating set --- evolutionary algorithm --- genetic algorithm --- local search --- constrained optimization problems (COPs) --- evolutionary algorithms (EAs) --- firefly algorithm (FA) --- stochastic ranking (SR) --- Artificial bee colony --- swarm intelligence --- elite strategy --- dimension learning --- global optimization --- DE algorithm --- ?-Hilbert space --- topology structure --- quantum uncertainty property --- numerical simulation --- whale optimization algorithm --- flexible job shop scheduling problem --- nonlinear convergence factor --- adaptive weight --- variable neighborhood search --- elephant herding optimization --- EHO --- swarm intelligence --- individual updating strategy --- large-scale --- benchmark --- diversity maintenance --- particle swarm optimizer --- entropy --- large scale optimization --- minimum load coloring --- memetic algorithm --- evolutionary --- local search --- particle swarm optimization --- large-scale optimization --- adaptive multi-swarm --- diversity maintenance --- deep learning --- convolutional neural network --- rock types --- automatic identification --- monarch butterfly optimization --- greedy optimization algorithm --- global position updating operator --- 0-1 knapsack problems

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MDPI - Multidisciplinary Digital Publishing Institute (2)


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CC by-nc-nd (2)


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english (2)


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2019 (2)