Advances in Operational Research in the Balkans XIII Balkan Conference on Operational Research 1st edition by Nenad Mladenovic, Angelo Sifaleras, Marija Kuzmanovic ISBN 3030219909 9783030219901

Advances in Operational Research in the Balkans: XIII Balkan Conference on Operational Research 1st edition by Nenad Mladenovic, Angelo Sifaleras, Marija Kuzmanovic – Ebook PDF Instant Download/Delivery: 3030219909, 978- 3030219901

Full download Advances in Operational Research in the Balkans: XIII Balkan Conference on Operational Research 1st Edition after payment

Product details:

ISBN 10:      3030219909

ISBN 13: 978-3030219901

Author:      Nenad Mladenovic, Angelo Sifaleras, Marija Kuzmanovic

 Advances in Operational Research in the Balkans: XIII Balkan Conference on Operational Research 1st Table of contents:

Part 1: Combinatorial Optimization & Heuristics

1. Dichotomy Algorithms in the Multi-class Problem of Pattern Recognition
   This chapter likely addresses optimization techniques for classifying data into multiple categories, using dichotomy algorithms to simplify the problem into binary classification steps. This can be useful for improving machine learning models in pattern recognition tasks.

2. Determining the Set of the Most Critical System Components—Optimization Approach
   This section focuses on identifying critical components within complex systems (e.g., networks, mechanical systems, or business processes) using optimization techniques. The aim is to find the most important elements that affect the system’s performance or reliability.

3. Metaheuristics and Error Detection Approaches for Multiproduct EOQ-Based Inventory Control Problem
   This chapter likely discusses how metaheuristics (like genetic algorithms, simulated annealing, or particle swarm optimization) can be applied to solve the Economic Order Quantity (EOQ) problem in inventory management when dealing with multiple products and error detection in the system.

Part 2: Multicriteria Decision Analysis & Multi-objective Optimization

1. On Fuzzy Solutions to a Class of Fuzzy Multi-objective Linear Optimization Problems
   This section addresses fuzzy optimization techniques applied to multi-objective problems, where both the objectives and constraints are uncertain or imprecise. This can be particularly useful for real-world problems where exact data isn’t available.

2. Multiattribute Methods as a Means for Solving Ecological Problems in Water Resources—Lake Pollution
   Here, the focus is on multi-criteria decision-making methods, applied to environmental issues like lake pollution. The multiattribute methods could involve trade-offs between factors like cost, environmental impact, and feasibility.

3. Forest Policy Evaluation in European Countries Using the PROMETHEE Method
   This chapter discusses using the PROMETHEE method, a well-known multicriteria decision analysis tool, to evaluate and compare different forest management policies in European countries, considering a variety of ecological, economic, and social criteria.

4. The Contribution of ICT in EU Development Policy: A Multicriteria Approach
   This section likely explores the role of Information and Communication Technology (ICT) in European Union development policies, using multicriteria decision analysis to assess how ICT investments contribute to various policy objectives.

5. A Fuzzy Linear Programming Approach to Solve Bi-level Multi-objective Linear Programming Problems
   This chapter discusses using fuzzy linear programming to solve bi-level optimization problems, where one objective is optimized at the upper level and another at the lower level, with uncertainty in the parameters.

Part 3: Performance Measurement & Data Envelopment Analysis (DEA)

1. Residential Attractiveness of Cities from the Perspective of Efficiency, Residents’ Perception and Preferences: The Case of Serbia
   This section likely focuses on using Data Envelopment Analysis (DEA) to measure the efficiency of cities in Serbia from the viewpoint of residential attractiveness, taking into account factors like residents’ perceptions and preferences.

2. Analyzing the Efficiency of Travel and Tourism in the European Union
   Here, DEA is applied to assess the efficiency of travel and tourism sectors in EU countries, evaluating how well these sectors use their resources to achieve desired outcomes like tourism revenue and customer satisfaction.

3. Interdomain Quality of Service Negotiation Using DEA Analysis and Petri Nets
   This chapter discusses using DEA combined with Petri Nets to analyze the negotiation of quality-of-service (QoS) parameters across multiple domains, possibly in telecommunications or cloud computing environments.

Part 4: Business Applications

1. Quality Losses as the Key Argument in the Public Procurement in Healthcare
   This section discusses how quality losses in healthcare procurement impact decisions and policy, exploring optimization techniques to minimize such losses while ensuring quality service delivery.

2. Enhancing IT Project Management Maturity Assessment
   This chapter likely focuses on assessing and improving the maturity of IT project management practices, possibly through frameworks like CMMI (Capability Maturity Model Integration) or using optimization models to improve project outcomes.

3. E-Payment Systems Using Multi-card Smartcard
   This section looks at e-payment systems that use multi-card smartcard technology, discussing their security, efficiency, and optimization in real-world financial transactions.

4. Detection of Click Spamming in Mobile Advertising
   This chapter addresses the problem of click spamming in mobile advertising, likely applying algorithms or data analysis techniques to identify fraudulent click activity and optimize the ad delivery systems.

5. Improving Decision-Making in Ski Resorts by Analyzing Ski Lift Transportation—A Review
   This review focuses on optimizing ski lift transportation in ski resorts, applying decision analysis and optimization techniques to improve efficiency and decision-making in managing ski resort operations.

6. A Recommender System with IBA Similarity Measure
   This section likely introduces a recommender system based on the IBA (Instance-based learning) similarity measure, which is used to recommend products or services to users based on their past behavior or preferences.

People also search for Advances in Operational Research in the Balkans: XIII Balkan Conference on Operational Research 1st :

advances in operations research
operational research and cybernetics
european journal of operational research impact factor
open balkans initiative
underbalancing international relations

Tags:

Nenad Mladenovic,Angelo Sifaleras,Marija Kuzmanovic,Advances,Operational,Research,Balkans,Conference,Operational Research 1st