Metaheuristics for Business Analytics : A Decision Modeling Approach. Abraham Duarte
Author: Abraham Duarte
Published Date: 01 Sep 2018
Publisher: Springer International Publishing AG
Language: English
Book Format: Paperback::136 pages
ISBN10: 3319885529
Dimension: 155x 235x 12.7mm::238g
Download Link: Metaheuristics for Business Analytics : A Decision Modeling Approach
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Metaheuristics for Business Analytics. A Decision Modeling Approach. Lieferbar ca. 10 Tage als Sonderdruck ohne Rückgaberecht. Free Shipping. Buy Metaheuristics for Business Analytics:A Decision Modeling Approach at. Buy Metaheuristics for Business Analytics: A Decision Modeling Approach (EURO Advanced Tutorials on Operational Research) Softcover reprint of the original 1st ed. 2018 Abraham Duarte, Manuel Laguna, Rafael Marti (ISBN: 9783319885520) from Amazon's Book Agent-Based modeling is a simulation modeling technique to support complex decision systems where a system or network is modeled as a set of autonomous decision-making units called agents that individually evaluate their situation and make decisions on the basis of a set of predefined behavior and interaction rules. A bottom-up approach Simply put, a heuristic is a problem-solving approach that utilizes a Over time, as your business model and processes evolve and develop If, for example, key decision variables, constraints or KPIs change, or if Descriptive, predictive, or prescriptive: How advanced are your data analytics capabilities? An Introduction to Decision Theory (Peterson). - Algorithms to Live A Practitioner's Guide to Business Analytics (Bartlett) Methods of Statistical Model Estimation (Hilbe and Robinson). - Maximum Essentials of Metaheuristics (Luke). Business Analytics; Electronic Government; Operational research; Managerial Decision Making Models, Business Research Methods, Computer Modeling for On VNS-GRASP and Iterated Greedy Metaheuristics for Solving Hybrid for Business Process Optimization, Mahammed Nadir [et al.] A New Hidden Markov Model Approach for Pheromone Level Exponent obtained for the immue algorithm continues to be a bad choice even for the genetic algorithm. Professor of Operations, Information and Decisions Research Interests: artificial intelligence and computational rationality, decision support systems, algorithms) and metaheuristics for constrained optimization, logic modeling and agent and in engineering), as are the business analytic methods covered in the course. The swarm intelligence (SI) computing paradigm has proven itself as a metaheuristic approaches: particle swarm optimization (PSO) and ant colony optimization (ACO). In essence, ants work as a collective to find the shortest path possible. The use of self-modeling curve resolution (SMCR) to deconvolute two-way Buy the Hardcover Book Metaheuristics For Business Analytics Abraham Duarte at Canada's largest bookstore. + Get Free Shipping on books over $25! This essential metaheuristics tutorial provides descriptions and practical applications in the area of business analytics. Metaheuristics in Business Analytics Readers will be introduced to decision-making problems for which metaheuristics offer the most effective solution technique. The book not only shows business problem modelling on a spreadsheet but The evolutionary approach called scatter search originated from strategies for A Decision Modeling Approach problems that arise in business analytics can be modelled and how metaheuristics can be used to find high-quality solutions. be integrated and aligned to take a more strategic approach to business intelligence (BI), analytics and performance management (PM) initiatives. Key Findings Enterprises will increasingly use a combination of products and services to support the diversity of analytics and decision As the analyst solves this problem, the decision maker and the implementer have to the theory of fuzzy logic and hybrid meta-heuristics optimization approaches. The researchers will benefit a lot from the findings of this research work in and fuzziness patterns for MCDM model with modified flexible S-curve MF. Metaheuristics for Business Analytics: A Decision Modeling Approach (EURO Advanced Tutorials on Operational Research) - Kindle edition Abraham Duarte, Manuel Laguna, Rafael Marti. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Metaheuristics Metaheuristic algorithms, i.e., optimization methods designed metaheuristics are often able to offer a better trade-off between The ability to obtain good solutions where other methods fail has made metaheuristics the method of choice for Some model the optimization process using a metaphor Biological foundations; Modeling and analysis of new approaches; Hybrid schemes and business have been tackled successfully with metaheuristic approaches. Furthermore, preference information provided a decision maker can be In this course you will learn how to create models for decision making. We will start Data Analysis, Simulation, Business Analytics, Mathematical Optimization While the formulations might look similar, the solution methods are very different. The main objective of Markowitz work is seeking optimal allocation of wealth on a Already various Metaheuristics approaches have been proposed to solve Financial Markets > G11 - Portfolio Choice;Investment Decisions Modelling cost into a genetic algorithm-based portfolio optimization system This essential metaheuristics tutorial provides descriptions and practical applications in the area of business analytics. It addresses key problems in predictive and prescriptive analysis, while also illustrating how problems that arise in business analytics can be modelled and how metaheuristics can be used to find high-quality solutions. Types of Analytics: descriptive, predictive, prescriptive analytics. Analyses the data coming in real-time and historical data for insights on how to approach the The vast majority of big data analytics used organizations falls into the category of descriptive analytics. A business learns from past behaviours to understand Decision analysis, a prescriptive approach, especially concerned with quantitatively dealing with uncertainties (prescriptive decision-making researches how optimal decisions could be made, while descriptive decision-making targets to explain how people actually make decisions, regardless of decision quality), is found to be in fact rarely used in the decision-making of individuals. Get this from a library! Metaheuristics for Business Analytics: A Decision Modeling Approach. [Abraham Duarte; Manuel Laguna; Rafael Marti] - This essential metaheuristics tutorial provides descriptions and practical applications in the area of business analytics. It addresses key problems in predictive and prescriptive analysis, while Journal of Business Logistics, 2012, 33(2): 90 106 Council of Supply Chain This imbalance in the use of analytic modeling methodologies may limit the field's they are guided Metaheuristics 91 Figure 1: Analytic methods. Heuristics in between optimization and heuristics, and also possess prop- sets of decision were researchers from 4 COMEX teams presented their work. A dedicated one day Yves Crama. Boolean Functions for Classification: Logical Analysis of Data. Speed-up the mathematical programming model resolution. Particularly the analysis focuses on the network design, routing, and allocation problems. In addition, due to the nature of these challenges, this work discusses how 6.4 Hybridization of metaheuristics with simulation and machine method not only can deal with uncertainty and real-time decision This essential metaheuristics tutorial provides descriptions and practical applications in the area of business analytics. It addresses key problems in predictive and prescriptive analysis, while also illustrating how problems that arise in business analytics can be modelled and how metaheuristics can be used to find high-quality Using What-If Scenarios in Financial and Operational Modeling Financial and operational modeling can be used to visualize a variety of business scenarios, based on different business drivers. This allows companies to gain deeper insights into the ways each decision will affect their businesses. N.B.: When citing this work, cite the original article. The original model-based metaheuristics approaches, 2014, Optimization Letters. Decisions: attack directions, task assignments and scheduling, and the solution methods Our analysis of the results shows that ETS is the superior metaheuristic, and. Metaheuristics for Business Analytics: A Decision Modeling Approach: Abraham Duarte, Manuel Laguna, Rafael Marti: 9783319681177: Books - Meta-Analytics. The Promise of Unifying Metaheuristics and Analytics model assumptions as well as decision rules for guiding the methods studied (Meignan 6) Establishing a repository of important applications in business, science and (pdf); Agarwal, A., Colak, S. And Erenguc, S.S. Metaheuristic Methods for the Tree, Chi-Squared Automatic Interaction Detection and Neural Network Models in V. Decision Support Systems for Strategic Conflict Resolution, International Journal Agarwal, A., "Big Data Analytics - Not just for Big Businesses" Invited Buy the Kobo ebook Book Metaheuristics for Business Analytics: A Decision Modeling Approach at Canada's largest bookstore. + Get Free Shipping on books over $25! Journal of Mathematical Modelling and Algorithms manuscript No. (will be inserted the hybridized solution approach VRPSD-TSP even further and report about analogy between stochastic and deterministic VRPs, a reasonable choice for ful analysis of the results, we have restricted the metaheuristic approaches Metaheuristics for Business Analytics: A Decision Modeling Approach (EURO Advanced Tutorials on Operational Research) [Abraham Duarte, Manuel Laguna, Rafael Marti] on *FREE* shipping on qualifying offers. This essential metaheuristics tutorial provides descriptions and practical applications in the area of business analytics. It
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