Papers by Antanas Zilinskas
On Two Approaches to Constructing Optimal Algorithms for Multi-objective Optimization
Communications in Computer and Information Science, 2013
Practical mathematical optimization: An introduction to basic optimization theory and classical and new gradient-based algorithms
Every day we meet new challenges that interfere in the workflow of different projects. Resources ... more Every day we meet new challenges that interfere in the workflow of different projects. Resources are scarce, therefore we need to carefully allocate them in order to obtain the desired results. The best way to deal with change in modern organizations involves project management. Therefore the question is which tools are best used to support structure, automation and efficiency of complex business processes. This paper is intended to study a real life business process that can deliver different results accordingly to its allocation of resources. Creating different outputs for a certain system, hopefully, the best solution would be found an implemented in order to increase operational productivity. Furthermore, based on the studied results, a complete analysis can be provided so that future mistakes can be avoided, and certain allocations to be classified as not feasible. Anyway, the project activities are subject to considerable uncertainty which can lead to schedule disruptions. Hopefully, in this paper a model can be developed that cannot provide with a proper resource allocation with approximate formulations that can lead to maximum results of the studied project.
Decomposition techniques in mathematical programming: Engineering and service applications
Principles of mathematics in operations research
Modelling, Analysis and Optimization of Biosystems
Deterministic Global Optimization: Geometric Branch-and-Bound Methods and Their Applications
Results of the Application of Multimodal Optimization Algorithms Based on Statistical Models
Editorial: Operations research: Theory and applications
Multi-objective management in freight logistics: Increasing capacity, service level and safety with optimization algorithms
... Acknowledgements The authors wish to thank Eugenia Civico, Isabella Lari, Alessandro Massacci... more ... Acknowledgements The authors wish to thank Eugenia Civico, Isabella Lari, Alessandro Massacci and Maria Grazia Mecoli for their contribution in the implementation of the models in Chapter 3; Pasquale Carotenuto, Monica Gentili and Andrea Scozzari for their contribution to ...
A quadratically converging algorithm of multidimensional scaling
Risk Modeling, Assessment and Management
... Assessment, and Management 1 1. The Art and Science of Systems and Risk Analysis 3 1.1 Introd... more ... Assessment, and Management 1 1. The Art and Science of Systems and Risk Analysis 3 1.1 Introduction 3 1.2 Systems Engineering 5 1.3 Risk Assessment and Management 18 1.4 Concept Road Map: The Fanner's Dilemma 35 1.5 Epilogue 46 References 47 2. The Role of ...
Handbook on modelling for discrete optimization
Page 1. Page 2. 2 2 Page 3. KANAKA MAHA LAKSHMI THALLI THIS BOOK IS DEDICATED TO THE ALMIGHTY, AL... more Page 1. Page 2. 2 2 Page 3. KANAKA MAHA LAKSHMI THALLI THIS BOOK IS DEDICATED TO THE ALMIGHTY, ALWAYS SHOWERS HER BLESSINGS ON HER CHILDREN. 3 2007, POME, Gautam_Koppala, All Rights Reserved Page 4. ...
On the use of statistical models of multimodal functions for the construction of the optimization algorithms
Handbook of Multicriteria Analysis
‘One-step bayesian method of the search for extremum of an one-dimensional function
A Note on "Extended Univariate Algorithms" by J. Pinter. This short note illustrates an error in ... more A Note on "Extended Univariate Algorithms" by J. Pinter. This short note illustrates an error in a paper published previously in Computing.
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Papers by Antanas Zilinskas