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Verlag: LAP LAMBERT Academic Publishing, 2019
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Verlag: LAP LAMBERT Academic Publishing, 2018
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Verlag: Springer-Verlag New York Inc, 2015
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Verlag: Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025130286 ISBN 13: 9781025130286
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Taschenbuch. Zustand: Neu. Neuware.
Sprache: Englisch
Verlag: Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025122380 ISBN 13: 9781025122380
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Taschenbuch. Zustand: Neu. Neuware - The Mission Routing Problem (MRP) is the selection of a vehicle path starting at a point, going through enemy terrain defended by radar sites to get to the target(s) and returning to a safe destination (usually the starting point). The MRP is a three-dimensional, multi-objective path search with constraints such as fuel expenditure, time limits, multi-targets, and radar sites with different levels of risks. It can severely task all the resources (people, hardware, software) of the system trying to compute the possible routes. The nature of the problem can cause operational planning systems to take longer to generate a solution than the time available. Since time is critical in MRP, it is important that a solution is reached within a relatively short time. It is not worth generating the solution if it takes days to calculate since the information may become invalid during that time. Particle Swarm Optimization (PSO) is an Evolutionary Algorithm (EA) technique that tries to find optimal solutions to complex problems using particles that interact with each other. Both Particle Swarm Optimization (PSO) and the Ant System (AS) have been shown to provide good solutions to Traveling Salesman Problem (TSP). PSO_AS is a synthesis of PSO and Ant System (AS). PSO_AS is a new approach for solving the MRP, and it produces good solutions. This thesis presents a new algorithm (PSO_AS) that functions to find the optimal solution by exploring the MRP search space stochastically.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838319400 ISBN 13: 9783838319407
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Verlag: LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365980066X ISBN 13: 9783659800665
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Taschenbuch. Zustand: Neu. Particle Swarm Optimization and its Variants | For Non Cascaded Short Term Hydrothermal Scheduling | Muhammad Salman Fakhar | Taschenbuch | 80 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659800665 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3848417316 ISBN 13: 9783848417315
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Verlag: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 6202017678 ISBN 13: 9786202017671
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Taschenbuch. Zustand: Neu. Economic Load Dispatch Using Particle Swarm Optimization | Shubham Tiwari (u. a.) | Taschenbuch | 68 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9786202017671 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330043652 ISBN 13: 9783330043657
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Taschenbuch. Zustand: Neu. Economic Load Dispatch Using Particle Swarm Optimization-Review | Mahamad Alam | Taschenbuch | 56 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330043657 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025118529 ISBN 13: 9781025118529
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - The Mission Routing Problem (MRP) is the selection of a vehicle path starting at a point, going through enemy terrain defended by radar sites to get to the target(s) and returning to a safe destination (usually the starting point). The MRP is a three-dimensional, multi-objective path search with constraints such as fuel expenditure, time limits, multi-targets, and radar sites with different levels of risks. It can severely task all the resources (people, hardware, software) of the system trying to compute the possible routes. The nature of the problem can cause operational planning systems to take longer to generate a solution than the time available. Since time is critical in MRP, it is important that a solution is reached within a relatively short time. It is not worth generating the solution if it takes days to calculate since the information may become invalid during that time. Particle Swarm Optimization (PSO) is an Evolutionary Algorithm (EA) technique that tries to find optimal solutions to complex problems using particles that interact with each other. Both Particle Swarm Optimization (PSO) and the Ant System (AS) have been shown to provide good solutions to Traveling Salesman Problem (TSP). PSO_AS is a synthesis of PSO and Ant System (AS). PSO_AS is a new approach for solving the MRP, and it produces good solutions. This thesis presents a new algorithm (PSO_AS) that functions to find the optimal solution by exploring the MRP search space stochastically.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139973910 ISBN 13: 9786139973910
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Taschenbuch. Zustand: Neu. Ultrasound Image Enhancement Using Particle Swarm Optimization | Deepa Parasar (u. a.) | Taschenbuch | 76 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139973910 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6200656266 ISBN 13: 9786200656261
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Taschenbuch. Zustand: Neu. Minimization of Wire Breakage in WEDM of EN-19 Material | Optimization in Wire Electric Discharge Machining using Particle Swarm Optimization and Response Surface Methodology | Kiran M. Thorve (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200656261 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139898331 ISBN 13: 9786139898336
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Association Rules Optimization using Particle Swarm Optimization Algor | Manuj Mishra (u. a.) | Taschenbuch | 60 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139898336 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2014
ISBN 10: 3659524441 ISBN 13: 9783659524448
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Taschenbuch. Zustand: Neu. Hybrid Differential Evolution Particle Swarm Optimization Algorithm | Vaddi Ramesh (u. a.) | Taschenbuch | 64 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659524448 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2013
ISBN 10: 3847349252 ISBN 13: 9783847349259
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Optimization of Particle Swarm Optimization Algorithm (Expedite PSO) | Amit Rathi | Taschenbuch | 64 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783847349259 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659795119 ISBN 13: 9783659795114
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Taschenbuch. Zustand: Neu. Hybrid Particle Swarm Optimization for Data Clustering | Nature is always a source of inspiration. | Pankaj G. Gaikwad (u. a.) | Taschenbuch | 84 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659795114 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659184683 ISBN 13: 9783659184680
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Taschenbuch. Zustand: Neu. Optimal Capacitor Allocation In Radial Distribution Systems | Using Particle Swarm Optimization | S. R. Sekhar Annasamudram | Taschenbuch | 80 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659184680 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: Creative Media Partners, LLC Mai 2025, 2025
ISBN 10: 1025124499 ISBN 13: 9781025124490
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - The surveillance mission requires aircraft to fly from a starting point through defended terrain to targets and return to a safe destination (usually the starting point). The process of selecting such a flight path is known as the Mission Route Planning (MRP) Problem and is a three-dimensional, multi-criteria (fuel expenditure, time required, risk taken, priority targeting, goals met, etc.) path search. Planning aircraft routes involves an elaborate search through numerous possibilities, which can severely task the resources of the system being used to compute the routes. Operational systems can take up to a day to arrive at a solution due to the combinatoric nature of the problem. This delay is not acceptable because timeliness of obtaining surveillance information is critical in many surveillance missions. Also, the information that the software uses to solve the MRP may become invalid during computation. An effective and efficient way of solving the MRP with multiple aircraft and multiple targets is desired. One approach to funding solutions is to simplify and view the problem as a two-dimensional, minimum path problem.