Advances in operational researches / edited by Jovan Pehcevski.

Includes bibliographical references and index.

Section 1: Optimization and linear programming -- A new approach for solving linear fractional programming problems with duality concept -- A particle swarm optimization algorithm for solving pricing and lead time quotation in a dual-channel supply chain with multiple customer classes -- Inverting the multiple-assisting tool network problem to solve for optimality -- A dynamic active-set method for linear programming -- The sliding gradient algorithm for linear programming -- Section 2: Graph-based methods and techniques -- The route planning on campus bus in H university -- Route optimization of electric vehicle considering soft time windows and two ways of power replenishment -- Integrating origin-destination survey and stochastic user equilibrium: a case study for route relocation -- Research of UAV flight planning parameters -- Section 3: Operational research applications in logistics -- Optimization of Urban rail transportation in emerging countries using operational research techniques -- A review on strategic, tactical and operational decision planning in reverse logistics of green supply chain network design -- Research on agri-food cold chain logistics management system: connotation, structure and operational mechanism -- Sea-port operational efficiency: an evaluation of five Asian ports using stochastic frontiers production function model -- The design of Urban traffic in Ferizaj through operational research -- Section 4: Operational research applications in logistics -- Application of the two nonzero component lemma in resource allocation -- Energy efficient non-cooperative methods for resource allocation in cognitive radio networks -- An alternative interpretation of mixed strategies in N-Person normal form games via resource allocation -- On a dynamic optimization technique for resource allocation problems in a production company.

"Operational research is a set of quantitative and other scientific methods used to determine optimal economic and technical solutions to complex problems. Operational researches are mathematical disciplines, but at the same time they are also basic disciplines in management. They are named after the research of operations in organizational systems with the purpose of their optimization. They were first developed for military purposes, and only later was their usefulness in managing business systems noticed. Known areas of operational research include: linear programming, nonlinear programming, integer programming, transport problems, network optimization, multicriteria optimization, etc. As a rule, when modeling specific problems, the research operates with many quantities(variables)upon which appropriate restrictions are imposed. The set of those values of given quantities-that satisfy the set system of constraints-is called the set of admissible solutions. The set of admissible solutions can have many elements, even an infinite number of admissible solutions. To choose an admissible solution, we must know the criterion on the basis of which it can be concluded, so we can decide whether one admissible solution is better than the other. The problems that are most often solved by applying linear programming are generally problems of allocating limited resources between competing activities in the best (optimal) way. The word programming in the name LP does not refer to computer programming (as in writing programs), but is a synonym for planning. This means that linear programming involves planning activities to get the optimal result, i.e., the best result from possible solutions according to a set goal, or a so called goal function. This edition covers different topics from advanced operational researches, including: optimization and linear programming, graph-based techniques and route planning, operations research in logistics problems, and methods for resource allocation"-- Back cover.