Thesis (Ph-D) University of East London, Department of Surveying, 1999.
Heuristics enable optimal or near-optimal solutions to be found for very large problems with a reasonable computation time — optimality, however, is not guaranteed. This paper will describe one particular heuristic (Simulated Annealing) and show how it can be applied to the logistics design of GPS :// An Heuristic Method for GPS Surveying Problem Using Simulated Annealing to Solve Concentrator Location Problems in Telecommunication Networks.- 9. Design of a Teleprocessing Communication The problem is to search for the best order in which these sessions can be observed to give the best possible schedule. The same problem arise in Mobile Phone surveying networks. Several case studies have been used to experimentally asses the performance of the proposed approach in terms of solution quality and computational :// 2 days ago "A heuristic technique, often called simply a heuristic, is any approach to problem solving, learning, or discovery that employs a practical method not guaranteed to be optimal or perfect, but sufficient for the immediate goals. Where finding an optimal solution is impossible or impractical, heuristic methods can be used to speed up the process of finding a satisfactory solution. Heuristics
After reviewing the relevant literature, a detailed description of the production–distribution network design problem studied is provided, and the problem is formulated as a mixed-integer program. The heuristic solution approach proposed is then presented. It is a variable neighborhood search (VNS) method integrating a tabu :// The results obtained with this approach for networks currently appearing in the literature as case studies in this field (whose solution by other optimization methods was known) have proved the ability of the heuristic to handle this kind of ://(ASCE)()(). () A heuristic algorithm for constrained multi-source Weber problem – The variational inequality approach. European Journal of Operational Research , () Investigation of practical, robust and flexible decisions for facility location problems using tabu search and :// Mazzini F, Mateus G and Smith J () Lagrangean based methods for solving large-scale cellular network design problems, Wireless Networks, , (), Online publication date: 1-Nov Cochrane E and Beasley J () The co-adaptive neural network approach to the Euclidean travelling salesman problem, Neural Networks, , (
HBMO is a meta-heuristic approach for solving discrete and continuous optimisation problems, and Mcanda is a powerful local search algorithm that can help HBMO in better evolution. Two benchmark water distribution networks are considered in which the design variables are pipe :// Abstract. Perceived to be one of the cornerstones of the emerging next generation (5G) networks, Network slicing enables the accommodation of multiple logical networks with diverse performance requirements on a common substrate platform. Of particular interest among different facets of network slicing is the problem of designing an individual network slice tailored specifically to match Request PDF | A tabu search heuristic for the dimensioning of 3G multi-service networks | In this paper, we propose a mathematical model for the dimensioning of a 3G multimedia network and design The article describes proposal of heuristic evaluation of usability of GeoWeb sites and a case study: the proposed heuristic evaluation is applied to GeoWeb sites of all Czech regional authorities. ISO/IEC quality model is used as a framework and heuristic evaluation in according to Nielsen is used as a method for usability ://