In this book we consider the Frequency Assignment Problem, where the objective is to minimize the cost due to interference arising in a solution. We use a quadratic 0-1 integer programming formulation of the problem as a basis to derive new lower bounds and problem reduction rules. A tree search algorithm that uses the lower bounds and dominance criteria is also presented. Computational results are shown on standard benchmark instances from the literature.
The Weapon-Target Assignment (WTA) problem is one of the most important problems of military applications of operations research. In this paper, hybrid Nested Partitions (NP) method is proposed to solve WTA problems. The proposed algorithm is named as “Hybrid NP method with intelligent greedy search”. This proposed algorithm combines the advantages of the NP method and intelligent greedy search and shows great efficiency for solving the WTA problem.
The focus area of this paper is on the assignment problem with budget constraints which is one of the application area of combinatorial optimization that operates on the domain of those optimization problems,in which the set of feasible solutions is discrete or can be reduced to discrete,and in which the goal is to find the best solution. It is particularly concerned with solving the unconstrained assignment problems with Hungarian algorithm and the constrained assignment problem by cutting plane or outer linearization algorithm for solving the Lagrangian dual problem in which, at each iteration,the function that approximates the dual function is optimized. The paper is divided in to two chapters. In the first chapter,the classical assignment problem,the problem of finding optimum (minimum or maximum) cost or profit assignment a set of workers or resources to jobs or activities to gather with its mathematical formulation,solution methods and special cases in assignment problems were considered. Under the second chapter, we have considered generalization of the classical assignment problem concerning resource(or budget) constraints, due to the variety of real life problems.
Assignment Problem is one of the first fundamental problems in the area of combinatorial optimization. Despite its historical roots, the problem has tremendous importance to date, due to its numerous real life applications in like facility location, personnel scheduling, job scheduling, production planning, project assignment, task assignment, time-tabling, vehicle routing, storage space allocation, etc. This book comprises some real life assignment and related problems involving imprecise cost/time parameters. In order to represent those imprecise parameters, interval numbers have been used here as this representation is the best among others. The associated problems have been solved using Genetic Algorithm efficiently. A salient feature of this book is that most of the algorithms have been written in a lucid manner with suitable examples using figures. This book should interest academicians, OR/GA practitioners and executives of different industries and business organizations.
A wireless mesh networks (WMNs) has emerged recently, WMN consist of two types of nodes mesh routers and mesh clients.WMN is dynamically self-organized and self-configured, with the nodes in the network automatically establishing and maintaining mesh connectivity among themselves. Channel assignment is a critical issue in WMN which is the mapping between the available channels and the radios at each node such that the network performance is optimized, and hence the focus of this work along with static channel assignment, multi-radio, multi-channel. Multi-radio MAC can potentially achieve higher network capacity than single-radio MAC. We design and implement a new agent (DSBCA) distributed channel assignment spanner base, the routing protocol Optimize the network performance considering the throughput, end-to-end delay, connectivity and the interference of our channel assignment algorithm. Base on the network simulations NS2.34 on Linux Fedora and our proposed channel assignment algorithm improved the throughput, minimal-connectivity preserving channel assignment algorithm.
The film tie-in edition of the cult classic Do Androids Dream of Electric Sheep?As the eagerly-anticipated new film Blade Runner 2049 finally comes to the screen, rediscover the world of Blade Runner...World War Terminus had left the Earth devastated. Through its ruins, bounty hunter Rick Deckard stalked, in search of the renegade replicants who were his prey. When he wasn't 'retiring' them with his laser weapon, he dreamed of owning a live animal - the ultimate status symbol in a world all but bereft of animal life.Then Rick got his chance: the assignment to kill six Nexus-6 targets, for a huge reward. But in Deckard's world things were never that simple, and his assignment quickly turned into a nightmare kaleidoscope of subterfuge and deceit - and the threat of death for the hunter, rather than the hunted...
This study explore the implementation of the Urdu text searching methodology to search the Quran and associated Prophet Muhammad (PBUH) Hadiths (using different books of hadiths) related to the input from the user. Urdu Quran and Hadith Classifier is a research-based application developed for Urdu based searching technology and information transfer. Its objective is to search the related Verses of Quran from plain Urdu text. It is an accommodating tool for all the Muslim to search about any topic from Quran and their related Hadith. It will also help the Muslim to know the history of Surah’s to understand the underlying principle of Quran. The application takes Urdu Unicode text from the user as an input, amends it according to the methodology and searches the Verses and related Hadith. To carry out this transformation, the System has to go through a series of steps. These steps are tokenization of input text, Generation of stems, Apply Bigram-Model, Frequency assignment and search Verses and Hadith. Present method adopts Bigram-Model which is used for text search.
Usage of search is very popular among all kinds of people to locate unknown information in websites. Mainstream search engines like Google work really hard to deliver a simple and effective search experience with the help of professionals and usability lab testing. Search interfaces often show a poor usability for the users who want to find information in different knowledge organizations website. The purpose of this research is to create an understanding for some important characteristics of search interfaces, characteristics that may enhance the usability of knowledge organization search interface design. This Paper aim is to identify and discuss the specialized search interface design for knowledge organizations. This paper provides the detailed information about the search interface design and its improvement. This study gives the specialized wireframe standards for improving knowledge organization search interface design.
This book represents a new model of meta-search engine. Existing meta-search engines do not have their own databases for indexing purpose. They directly send request to individual fixed number of search engines for user search text and retrieves aggregate single list of result by eliminating duplicates. They are using their own ranking formulas to display retrieved links in some specific order. Moreover, existing meta-search engine uses optimization techniques for revenue and provides paid listings. Hence, ranking order is less reliable. In new model of a meta-search engine the concept of database has been introduced for indexing purpose. If relevant search keywords already available in keyword database, then it retrieves results from it in an efficient way. This helps to improve response time of meta-search engine and eliminates the meta-search engine time-out problem.
Search Marketing Strategies focuses on how to make the most from the search engine industry. Concentrating on the strategic element rather than the procedural approach, the author demonstrates how to adapt the tactical techniques, such as paid search, site side optimization and analytics packages, into search strategies in order to achieve marketing or corporate objectives such as branding, sales and customer acquisition.* Focuses on search marketing strategy rather than search optimization* Acts as a toolkit for adapting tactical techniques into search strategies* Written for marketers, therefore the consideration of the topic of search is wholly relevant for the marketing function
The efficient management of Change Requests (CRs) is fundamental for successful software maintenance; however the assignment of CRs to developers is an expensive aspect in this regard, due to the time and expertise demanded. To overcome this, researchers have proposed automated approaches for CR assignment. Although these proposals present advances to this topic, they do not consider many factors inherent to the assignments, such as: developers’ workload, CRs severity, interpersonal relationships, and developers know-how. Actually, as we demonstrate in this work, CR assignment is a complex activity and automated approaches cannot rely on simplistic solutions. Ideally, it is necessary to consider and reason over contextual information in order to provide an effective automation. Beyond investigating all these aspects through an extensive systematic literature review, this work also proposes a context-aware architecture solution to semi-automated assignment of CRs.