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Decision Science in Action [[electronic resource] ] : Theory and Applications of Modern Decision Analytic Optimisation / / edited by Kusum Deep, Madhu Jain, Said Salhi
Decision Science in Action [[electronic resource] ] : Theory and Applications of Modern Decision Analytic Optimisation / / edited by Kusum Deep, Madhu Jain, Said Salhi
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (276 pages)
Disciplina 658.403
Collana Asset Analytics, Performance and Safety Management
Soggetto topico Operations research
Statistics
Operations Research/Decision Theory
Operations Research, Management Science
Statistics for Business, Management, Economics, Finance, Insurance
ISBN 981-13-0860-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: π Fraction-based optimization of the pbm antenna benchmarks -- Chapter 2: Benchmark function generators for single-objective robust optimisation algorithms -- Chapter 3: Convergence of gravitational search algorithm on linear and quadratic functions -- Chapter 4: An algorithm of multi-variant evolutionary synthesis of nonlinear models with real-valued chromosomes -- Chapter 5: An artificial bee colony based hyper-heuristic for the single machine order acceptance and scheduling problem -- Chapter 6: A new evolutionary optimization method based on center of mass -- Chapter 7: Adaptive artificial physics optimization algorithm with pd controller -- Chapter 8: Nsga-ii based decision-making in fuzzy multi-objective optimization of system reliability -- Chapter 9: Ga based task scheduling algorithm for efficient utilization of available resources in computational grid -- Chapter 10: Statistical feature analysis of thermal images from electrical equipment -- Chapter 11: Performance of sine-cosine algorithm on large-scale optimization problems -- Chapter 12: Necessary and sufficient optimality conditions for fractional interval valued optimization problems -- Chapter 13: Application of constrained spider monkey optimization to solve portfolio optimization problem -- Chapter 14: Optimal configuration selection in reconfigurable manufacturing system -- Chapter 15: A comparative study of regularized long wave equations using collocation method with cubic b-spline -- Chapter 16: An enhanced fractal dimension based feature extraction for thermal face recognition -- Chapter 17: Seismic analysis of multistoried building with optimized damper properties -- Chapter 18: Effect of upper body motion on biped robot stability -- Chapter 19: Ant colony algorithm for routing alternate fuel vehicles in multi-depot vehicle routing problem -- Chapter 20: Semidefinite approximation of closed convex set.
Record Nr. UNINA-9910350214103321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Logistics, Supply Chain and Financial Predictive Analytics [[electronic resource] ] : Theory and Practices / / edited by Kusum Deep, Madhu Jain, Said Salhi
Logistics, Supply Chain and Financial Predictive Analytics [[electronic resource] ] : Theory and Practices / / edited by Kusum Deep, Madhu Jain, Said Salhi
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (VII, 254 p. 54 illus., 38 illus. in color.)
Disciplina 658.4038
Collana Asset Analytics, Performance and Safety Management
Soggetto topico Big data
Business logistics
Finance—Mathematics
Big Data/Analytics
Supply Chain Management
Logistics
Financial Mathematics
ISBN 981-13-0872-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Co-operative/non-cooperative supply chain models for imperfect quality items with trade-credit financing -- Chapter 2: Determination of initial basic feasible solution for transportation problems using supply demand reparation method and continuous allocation method -- Chapter 3: Comparison study on exponential smoothing and arima model for the fuel price -- Chapter 4: An optimal policy for weibull distributed deteriorating items varying with ramp type demand rate and shortages -- Chapter 5: Inventory model with shortages and deterioration for three different demand rates -- Chapter 6: Outlier labeling methods for medical data -- Chapter 7: Goal programming model to budgetary allocation in garbage disposal plant -- Chapter 8: A validated model of a fault-tolerant system -- Chapter 9: Formation and designing of “least cost ration formulation application of cattle” using excel vba -- Chapter 10: New stable numerical inversion of generalized abel integral equation -- Chapter 11: Empirical analysis of probabilistic bounds -- Chapter 12: A graph-theoretical approach for comparison between the pair of allied ragas bhupali and deshkar of north indian classical music -- Chapter 13: A general class of tests for testing homogeneity of location parameters against ordered alternatives -- Chapter 14: Modelling of male age at marriage: evidences from western region of uttar pradesh (india) -- Chapter 15: Copula functions and applications in engineering -- Chapter 16: A preservation technology model for deteriorating items with advertisement dependent demand and trade credit -- Chapter 17: Time series model for stock price forecasting in india -- Chapter 18: asset pricing through capital market curve -- Chapter 19: Non-dominated sorting water cycle algorithm for optimal selection of cardinality constrained portfolio problem -- Chapter 20: Tqm indicators implemented by teachers of the primary school.
Record Nr. UNINA-9910350214803321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Palgrave Handbook of Operations Research / / edited by Saïd Salhi, John Boylan
The Palgrave Handbook of Operations Research / / edited by Saïd Salhi, John Boylan
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2022
Descrizione fisica 1 online resource (923 pages) : illustrations
Disciplina 658.4034
Soggetto topico Operations research
Technological innovations
Production management
Operations Research and Decision Theory
Innovation and Technology Management
Operations Management
ISBN 3-030-96935-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I:- Discrete (Combinatorial) Optimisation -- Chapter 1:-Bilevel Discrete Optimisation: Computational Complexity and Applications -- Chapter 2:-Discrete Location Problems with Uncertainty -- Chapter 3:-Integrated vehicle routing problems: A survey -- Chapter 4:- The knapsack problem and its variants: Formulations and solution methods -- Chapter 5:- Rank aggregation: models and algorithms -- Part II:-Continuous (Global) Optimisation -- Chapter 7:- Competitive Facilities Location -- Chapter 8:- Interval tools in branch-and-bound methods for global optimization -- Chapter 9:-Continuous Facility Location Problems -- Chapter 10:-Data Envelopment Analysis: Recent developments and challenges -- Part III:- Heuristic Search Optimisation -- Chapter 11:- An Overview of Heuristics and Metaheuristics -- Chapter 12:- Formulation space search metaheuristic -- Chapter 13:- Sine Cosine Algorithm: Introduction and Advances -- Chapter 14:-Less is more approach in heuristic optimization -- Chapter 15:- The New Era of Hybridisation and Learning in Heuristic Search Design -- Part IV:- Forecasting, Simulation and Prediction -- Chapter 16:-Forecasting with Judgment -- Chapter 1:- Input Uncertainty in Stochastic Simulation -- Chapter 18:-Fuzzy multi-attribute decision-making: Theory, methods and Applications -- Chapter 19:- Importance measures in reliability engineering: an introductory overview -- Chapter 20:- Queues with variable service speeds: Exact results and scaling limits -- Chapter 21:-Forecasting and its Beneficiaries -- Part V:-Problem Structuring and Behavioural -- Chapter 22:- Behavioural OR: Recent developments and future perspectives -- Chapter 23:- Problem structuring methods: Taking stock and looking ahead -- Chapter 24:- Are PSMs relevant in a digital age? Towards an ethical dimensionPart VI Recent OR Applications -- Chapter 25:- Recent Advances in Big Data Analytics -- Chapter 26:- OR/MS Models for the Humanitarian-Business Partnership -- Chapter 27:- Drones and delivery robots: Models and applications to last mile delivery -- Chapter 28:- Evaluating the Quality of Radiation Therapy Treatment Plans Using Data Envelopment Analysis.
Record Nr. UNINA-9910584597503321
Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models [[electronic resource] ] : Theory and Applications / / edited by Kusum Deep, Madhu Jain, Said Salhi
Performance Prediction and Analytics of Fuzzy, Reliability and Queuing Models [[electronic resource] ] : Theory and Applications / / edited by Kusum Deep, Madhu Jain, Said Salhi
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (282 pages)
Disciplina 519.82
Collana Asset Analytics, Performance and Safety Management
Soggetto topico Big data
Operations research
System safety
Big Data/Analytics
Operations Research/Decision Theory
Quality Control, Reliability, Safety and Risk
ISBN 981-13-0857-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Mehar methods to solve intuitionistic fuzzy linear programming problems with trapezoidal intuitionistic fuzzy numbers -- Chapter 2: Solving lp models for multi-objective matrix games with i-fuzzy goals -- Chapter 3: Fuzzy integrated super-efficiency slack based measure model -- Chapter 4: Prioritizing of factors affecting the adoption of mobile financial services in emerging markets- a fuzzy ahp approach -- Chapter 5: Design of reliability single sampling plan by attributes based on exponentiated exponential distribution -- Chapter 6: Availability prediction of repairable fault tolerant system with imperfect coverage, reboot and common cause failure -- Chapter 7: Software reliability growth model in distributed environment subject to debugging time lag -- Chapter 8: Imperfect software reliability growth model using delay in fault correction -- Chapter 9: Busy period analysis of gi/g/c and map/g/c queues -- Chapter 10: F-policy for m/m/1/k retrial queueing model with state dependent rates -- Chapter 11: A time shared queue with additional server and nopassing customers -- Chapter 12: The effect of vacation interruptions policy on the queueing system with cost optimization -- Chapter 13: Balking strategies for a working vacation priority queuing system with two classes of customers -- Chapter 14: Mx /g/1 queue with optional service and server breakdowns -- Chapter 15: Performance analysis of series queue with customers blocking -- Chapter 16: Markovian multiserver queue with reneging and provision of additional removable servers -- Chapter 17: Analysis of queues with impatient clients: an application to online shopping -- Chapter 18: Designing bulk arrival queue model to an interdependent communication system with fuzzy parameters -- Chapter 19: Transient analysis of markov feedback queue with working vacation and discouragement -- Chapter 20: Transient and steady-state behavior of a two-heterogeneous servers queuing system with balking and retention of reneging customers.
Record Nr. UNINA-9910350214603321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Variable Neighborhood Search [[electronic resource] ] : 6th International Conference, ICVNS 2018, Sithonia, Greece, October 4–7, 2018, Revised Selected Papers / / edited by Angelo Sifaleras, Said Salhi, Jack Brimberg
Variable Neighborhood Search [[electronic resource] ] : 6th International Conference, ICVNS 2018, Sithonia, Greece, October 4–7, 2018, Revised Selected Papers / / edited by Angelo Sifaleras, Said Salhi, Jack Brimberg
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XI, 315 p. 93 illus., 26 illus. in color.)
Disciplina 511.5
Collana Theoretical Computer Science and General Issues
Soggetto topico Numerical analysis
Computer science - Mathematics
Discrete mathematics
Algorithms
Artificial intelligence - Data processing
Mathematical optimization
Numerical Analysis
Discrete Mathematics in Computer Science
Data Science
Optimization
ISBN 3-030-15843-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Improved variable neighbourhood search heuristic for quartet clustering -- On the k-medoids model for semi-supervised clustering -- Complexity and Heuristics for the Max Cut-Clique Problem -- A VNS approach to solve multi-level capacitated lotsizing problem with backlogging -- How to locate disperse obnoxious facility centers? -- Basic VNS algorithms for solving the pollution location inventory routing problem -- Less is More: The Neighborhood Guided Evolution Strategies convergence on some classic neighborhood operators -- New VNS variants for the Online Order Batching Problem -- An adaptive VNS and Skewed GVNS approaches for School Timetabling Problems -- Finding balanced bicliques in bipartite graphs using Variable Neighborhood Search -- General Variable Neighborhood Search for Scheduling Heterogeneous Vehicles in Agriculture -- Detecting weak points in networks using Variable Neighborhood Search -- A Variable neighborhood search with integer programming for the zero-one Multiple-Choice Knapsack Problem with Setup -- A VNS-based Algorithm with Adaptive Local Search for Solving the Multi-Depot Vehicle Routing Problem -- Skewed Variable Neighborhood Search Method for the Weighted Generalized Regenerator Location Problem -- Using a variable neighborhood search to solve the single processor scheduling problem with time restrictions -- An Evolutionary Variable Neighborhood Descent for addressing an electric VRP variant -- A Variable Neighborhood Descent heuristic for the multi-quay Berth Allocation and Crane Assignment Problem under availability constraints -- A Variable Neighborhood Search approach for solving the Multidimensional Multi-way Number Partitioning Problem -- A general variable neighborhood search with Mixed VND for the multi-Vehicle multi-Covering Tour Problem -- A Hybrid Firefly - VNS Algorithm for the Permutation Flowshop Scheduling Problem -- Studying the impact of perturbation methods on the efficiency of GVNS for the ATSP -- A general variable neighborhood search algorithm to solve vehicle routing problems with optional visits.
Record Nr. UNISA-996466427003316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Variable Neighborhood Search : 6th International Conference, ICVNS 2018, Sithonia, Greece, October 4–7, 2018, Revised Selected Papers / / edited by Angelo Sifaleras, Said Salhi, Jack Brimberg
Variable Neighborhood Search : 6th International Conference, ICVNS 2018, Sithonia, Greece, October 4–7, 2018, Revised Selected Papers / / edited by Angelo Sifaleras, Said Salhi, Jack Brimberg
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XI, 315 p. 93 illus., 26 illus. in color.)
Disciplina 511.5
Collana Theoretical Computer Science and General Issues
Soggetto topico Numerical analysis
Computer science - Mathematics
Discrete mathematics
Algorithms
Artificial intelligence - Data processing
Mathematical optimization
Numerical Analysis
Discrete Mathematics in Computer Science
Data Science
Optimization
ISBN 3-030-15843-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Improved variable neighbourhood search heuristic for quartet clustering -- On the k-medoids model for semi-supervised clustering -- Complexity and Heuristics for the Max Cut-Clique Problem -- A VNS approach to solve multi-level capacitated lotsizing problem with backlogging -- How to locate disperse obnoxious facility centers? -- Basic VNS algorithms for solving the pollution location inventory routing problem -- Less is More: The Neighborhood Guided Evolution Strategies convergence on some classic neighborhood operators -- New VNS variants for the Online Order Batching Problem -- An adaptive VNS and Skewed GVNS approaches for School Timetabling Problems -- Finding balanced bicliques in bipartite graphs using Variable Neighborhood Search -- General Variable Neighborhood Search for Scheduling Heterogeneous Vehicles in Agriculture -- Detecting weak points in networks using Variable Neighborhood Search -- A Variable neighborhood search with integer programming for the zero-one Multiple-Choice Knapsack Problem with Setup -- A VNS-based Algorithm with Adaptive Local Search for Solving the Multi-Depot Vehicle Routing Problem -- Skewed Variable Neighborhood Search Method for the Weighted Generalized Regenerator Location Problem -- Using a variable neighborhood search to solve the single processor scheduling problem with time restrictions -- An Evolutionary Variable Neighborhood Descent for addressing an electric VRP variant -- A Variable Neighborhood Descent heuristic for the multi-quay Berth Allocation and Crane Assignment Problem under availability constraints -- A Variable Neighborhood Search approach for solving the Multidimensional Multi-way Number Partitioning Problem -- A general variable neighborhood search with Mixed VND for the multi-Vehicle multi-Covering Tour Problem -- A Hybrid Firefly - VNS Algorithm for the Permutation Flowshop Scheduling Problem -- Studying the impact of perturbation methods on the efficiency of GVNS for the ATSP -- A general variable neighborhood search algorithm to solve vehicle routing problems with optional visits.
Record Nr. UNINA-9910337569703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui