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This book discusses recent developments in the vast domain of optimization. Featuring papers presented at the 1st International Conference on Frontiers in Optimization: Theory and Applications (FOTA 2016), held at the Heritage Institute of Technology, Kolkata, on 24–26 December 2016, it opens new avenues of research in all topics related to optimization, such as linear and nonlinear optimization; combinatorial-, stochastic-, dynamic-, fuzzy-, and uncertain optimization; optimal control theory; as well as multi-objective, evolutionary and convex optimization and their applications in intelligent information and technology, systems science, knowledge management, information and communication, supply chain and inventory control, scheduling, networks, transportation and logistics and finance. The book is a valuable resource for researchers, scientists and engineers from both academia and industry.

Operations research --- Mathematics. --- Calculus of variations. --- Operations research. --- Management science. --- Mathematical optimization. --- Calculus of Variations and Optimal Control; Optimization. --- Operations Research, Management Science. --- Continuous Optimization. --- Discrete Optimization. --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Simulation methods --- System analysis --- Quantitative business analysis --- Management --- Problem solving --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Isoperimetrical problems --- Variations, Calculus of --- Math --- Science

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This book discusses recent developments in the vast domain of optimization. Featuring papers presented at the 1st International Conference on Frontiers in Optimization: Theory and Applications (FOTA 2016), held at the Heritage Institute of Technology, Kolkata, on 24–26 December 2016, it opens new avenues of research in all topics related to optimization, such as linear and nonlinear optimization; combinatorial-, stochastic-, dynamic-, fuzzy-, and uncertain optimization; optimal control theory; as well as multi-objective, evolutionary and convex optimization and their applications in intelligent information and technology, systems science, knowledge management, information and communication, supply chain and inventory control, scheduling, networks, transportation and logistics and finance. The book is a valuable resource for researchers, scientists and engineers from both academia and industry.

Numerical methods of optimisation --- Operational research. Game theory --- Discrete mathematics --- Mathematical statistics --- Planning (firm) --- discrete wiskunde --- mathematische modellen --- econometrie --- wiskunde --- operationeel onderzoek --- kansrekening --- optimalisatie

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Effective decision-making while trading off the constraints and conflicting multiple objectives under rapid technological developments, massive generation of data, and extreme volatility is of paramount importance to organizations to win over the time-based competition today. While agility is a crucial issue, the firms have been increasingly relying on evidence-based decision-making through intelligent decision support systems driven by computational intelligence and automation to achieve a competitive advantage. The decisions are no longer confined to a specific functional area. Instead, business organizations today find actionable insight for formulating future courses of action by integrating multiple objectives and perspectives. Therefore, multi-objective decision-making plays a critical role in businesses and industries. In this regard, the importance of Operations Research (OR) models and their applications enables the firms to derive optimum solutions subject to various constraints and/or objectives while considering multiple functional areas of the organizations together. Hence, researchers and practitioners have extensively applied OR models to solve various organizational issues related to manufacturing, service, supply chain and logistics management, human resource management, finance, and market analysis, among others. Further, OR models driven by AI have been enabled to provide intelligent decision-support frameworks for achieving sustainable development goals. The present issue provides a unique platform to showcase the contributions of the leading international experts on production systems and business from academia, industry, and government to discuss the issues in intelligent manufacturing, operations management, financial management, supply chain management, and Industry 4.0 in the Artificial Intelligence era. Some of the general (but not specific) scopes of this proceeding entail OR models such as Optimization and Control, Combinatorial Optimization, Queuing Theory, Resource Allocation Models, Linear and Nonlinear Programming Models, Multi-objective and multi-attribute Decision Models, Statistical Quality Control along with AI, Bayesian Data Analysis, Machine Learning and Econometrics and their applications vis-à-vis AI & Data-driven Production Management, Marketing and Retail Management, Financial Management, Human Resource Management, Operations Management, Smart Manufacturing & Industry 4.0, Supply Chain and Logistics Management, Digital Supply Network, Healthcare Administration, Inventory Management, consumer behavior, security analysis, and portfolio management and sustainability. The present issue shall be of interest to the faculty members, students, and scholars of various engineering and social science institutions and universities, along with the practitioners and policymakers of different industries and organizations.

Numerical methods of optimisation --- Operational research. Game theory --- Mathematical statistics --- Planning (firm) --- Programming --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- automatisering --- mathematische modellen --- programmeren (informatica) --- econometrie --- wiskunde --- gegevensanalyse --- KI (kunstmatige intelligentie) --- operationeel onderzoek --- Operations research. --- Mathematical optimization. --- Big data. --- Machine learning. --- Artificial intelligence—Data processing. --- Operations Research and Decision Theory. --- Optimization. --- Big Data. --- Machine Learning. --- Data Science. --- Technology --- Technology & Engineering --- AI (artificiële intelligentie) --- Decision making --- Operations research

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The dynamics of systems have proven to be very powerful tools in understanding the behavior of different natural phenomena throughout the last two centuries. However, the attributes of natural systems are observed to deviate from their classical states due to the effect of different types of uncertainties. Actually, randomness and impreciseness are the two major sources of uncertainties in natural systems. Randomness is modeled by different stochastic processes and impreciseness could be modeled by fuzzy sets, rough sets, Dempster–Shafer theory, etc.

Research & information: general --- Mathematics & science --- Fuzzy MARCOS --- Fuzzy PIPRECIA --- traffic risk --- TFN --- MCDM --- dual-rotor --- multi-frequency excitation --- non-intrusive calculation --- metamodel --- NDSL model --- AHP --- criteria weights --- pairwise comparisons --- AES --- PC --- MIMO discrete-time system --- state feedback and output feedback --- parameter dependence --- D numbers --- fuzzy sets --- DEMATEL --- multi-criteria decision-making --- multi-criteria optimization --- RAFSI method --- performance comparison --- rank reversal --- Magnetic Resonance Imaging (MRI) --- wavelet transform --- GARCH --- LLA --- LDA --- KNN --- BWM --- BWM-I --- multi-criteria --- renewable energy --- the CCSD method --- the ITARA method --- the MARCOS method --- stackers --- logistics --- ensemble techniques --- data mining --- classification and discrimination --- linear regression --- applied mathematics general --- prediction theory --- theory of mathematical modeling --- medical applications --- empathic building --- fuzzy grey cognitive maps --- Thayer's emotion model --- artificial emotions --- affective computing

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Optimization is considered as a decision-making process for getting the most out of available resources for the best attainable results. Many real-world problems are multi-objective or multi-attribute problems that naturally involve several competing objectives that need to be optimized simultaneously, while respecting some constraints or involving selection among feasible discrete alternatives. In this Reprint of the Special Issue, 19 research papers co-authored by 88 researchers from 14 different countries explore aspects of multi-objective or multi-attribute modeling and optimization in crisp or uncertain environments by suggesting multiple-attribute decision-making (MADM) and multi-objective decision-making (MODM) approaches. The papers elaborate upon the approaches of state-of-the-art case studies in selected areas of applications related to sustainable development decision aiding in engineering and management, including construction, transportation, infrastructure development, production, and organization management.

artificial neural network --- sustainability hierarchy --- expert --- Rough Hamy aggregator --- sustainable solution --- crank–slider --- technology selection problem --- AHP --- bus pass --- optimization --- discrete time/cost trade-off --- Rough WASPAS --- hybrid multi-criteria decision making (MCDM) --- travel times --- extended Tomada de Decisão Interativa Multicritério (TODIM) --- bi-level programming --- multi-objective evolutionary algorithms --- project scheduling --- WASPAS --- port scheduling --- rehydration --- sustainable transport policy --- gold mines --- hybrid mathematical model --- sustainable developments --- straw bales --- group decision making --- contractor --- Total Interpretive Structural Modeling (TISM) --- MULTIMOORA --- building investment project --- heuristics --- cleaner production (CP) --- particle swarm optimization (PSO) --- optimization study --- critical information infrastructures --- bi-objective optimization --- dynamic analysis --- location-allocation problem --- probabilistic linguistic term sets (PLTSs) --- drying --- multiple objective optimization --- multi-objective decision-making (MODM) --- ranking --- hierarchical SWARA --- choice --- linguistic hesitant fuzzy set and Standard variance --- multiple-attribute decision-making (MADM) --- project --- sustainable energy evaluation --- emission of pollutants --- genetic algorithm --- ARAS-G --- multi-purpose system --- renewable energy --- assessment --- hospital evaluation --- bat algorithm --- multiple-criteria decision-making --- comfort of use of buildings --- energy efficiency --- healthcare facility --- conceptual framework --- hybrid expert system --- engineering --- sustainability --- verbal analysis --- sustainable energy developments --- sustainable development --- hybrid --- public transport --- water resource management --- compacted clay --- multiple criteria decision making (MCDM) --- MCDM --- particle swarm optimization algorithm --- sustainable traffic --- single-cylinder engine --- Rough BWM --- policy measures --- apple --- clay blocks --- historic buildings --- hesitant fuzzy set --- construction --- TOPSIS-GM --- roundabout --- fuzzy --- sustainable transport --- surface transport --- grey --- Multiple Attribute Decision Making (MADM) --- WSM --- ecological building --- management --- Geomean --- SWARA --- vibration suppression --- organizations --- innovation in transport --- risk --- berth-quay crane joint scheduling --- cost calculation --- multiple criteria decision aid