Swarm Robotics Cooperative Movement Control using PSO & IPM Algorithms
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Swarm Robotics Cooperative Movement Control using PSO & IPM Algorithms (2017)
DE PB NW
ISBN: 9783659799907 bzw. 3659799904, in Deutsch, LAP Lambert Academic Publishing Okt 2017, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
Neuware - Research in Particle Swarm Optimisation and its applications to real world problems has become a very interesting field in recent years. Particle Swarm Optimisation (PSO) despite its simplicity, ease of implementation and efficiency still has some flaws, which include its tendency to premature convergence and inability to escape local minima. To address these weaknesses, many variants of PSO have been proposed in the literature. Primal-Dual Particle Swarm Optimisation (pdPSO) and Primal-Dual Asynchronous Particle Swarm Optimisation (pdAPSO) algorithms are proposed to resolve the shortcomings of the standard PSO without the limitations of the IPM methods. The proposed hybrid algorithms (pdPSO and pdAPSO) were used solve the flocking and pattern formation problem in swarm robotics. The simulation result provides a clear indication of the effectiveness of the algorithm. The hybrid algorithms perform better in terms of precision, rate of convergence, reliability, robustness and flocking capability for homogenous set of swarm robots compared to some existing variants of PSO. 348 pp. Englisch.
Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
Neuware - Research in Particle Swarm Optimisation and its applications to real world problems has become a very interesting field in recent years. Particle Swarm Optimisation (PSO) despite its simplicity, ease of implementation and efficiency still has some flaws, which include its tendency to premature convergence and inability to escape local minima. To address these weaknesses, many variants of PSO have been proposed in the literature. Primal-Dual Particle Swarm Optimisation (pdPSO) and Primal-Dual Asynchronous Particle Swarm Optimisation (pdAPSO) algorithms are proposed to resolve the shortcomings of the standard PSO without the limitations of the IPM methods. The proposed hybrid algorithms (pdPSO and pdAPSO) were used solve the flocking and pattern formation problem in swarm robotics. The simulation result provides a clear indication of the effectiveness of the algorithm. The hybrid algorithms perform better in terms of precision, rate of convergence, reliability, robustness and flocking capability for homogenous set of swarm robots compared to some existing variants of PSO. 348 pp. Englisch.
2
Swarm Robotics Cooperative Movement Control using PSO & IPM Algorithms
DE HC NW
ISBN: 9783659799907 bzw. 3659799904, in Deutsch, Lap Lambert Academic Publishing, gebundenes Buch, neu.
Lieferung aus: Deutschland, Versandkostenfrei innerhalb von Deutschland.
Research in Particle Swarm Optimisation and its applications to real world problems has become a very interesting field in recent years. Particle Swarm Optimisation (PSO) despite its simplicity, ease of implementation and efficiency still has some flaws, which include its tendency to premature convergence and inability to escape local minima. To address these weaknesses, many variants of PSO have been proposed in the literature. Primal-Dual Particle Swarm Optimisation (pdPSO) and Primal-Dual Research in Particle Swarm Optimisation and its applications to real world problems has become a very interesting field in recent years. Particle Swarm Optimisation (PSO) despite its simplicity, ease of implementation and efficiency still has some flaws, which include its tendency to premature convergence and inability to escape local minima. To address these weaknesses, many variants of PSO have been proposed in the literature. Primal-Dual Particle Swarm Optimisation (pdPSO) and Primal-Dual Asynchronous Particle Swarm Optimisation (pdAPSO) algorithms are proposed to resolve the shortcomings of the standard PSO without the limitations of the IPM methods. The proposed hybrid algorithms (pdPSO and pdAPSO) were used solve the flocking and pattern formation problem in swarm robotics. The simulation result provides a clear indication of the effectiveness of the algorithm. The hybrid algorithms perform better in terms of precision, rate of convergence, reliability, robustness and flocking capability for homogenous set of swarm robots compared to some existing variants of PSO. Lieferzeit 1-2 Werktage.
Research in Particle Swarm Optimisation and its applications to real world problems has become a very interesting field in recent years. Particle Swarm Optimisation (PSO) despite its simplicity, ease of implementation and efficiency still has some flaws, which include its tendency to premature convergence and inability to escape local minima. To address these weaknesses, many variants of PSO have been proposed in the literature. Primal-Dual Particle Swarm Optimisation (pdPSO) and Primal-Dual Research in Particle Swarm Optimisation and its applications to real world problems has become a very interesting field in recent years. Particle Swarm Optimisation (PSO) despite its simplicity, ease of implementation and efficiency still has some flaws, which include its tendency to premature convergence and inability to escape local minima. To address these weaknesses, many variants of PSO have been proposed in the literature. Primal-Dual Particle Swarm Optimisation (pdPSO) and Primal-Dual Asynchronous Particle Swarm Optimisation (pdAPSO) algorithms are proposed to resolve the shortcomings of the standard PSO without the limitations of the IPM methods. The proposed hybrid algorithms (pdPSO and pdAPSO) were used solve the flocking and pattern formation problem in swarm robotics. The simulation result provides a clear indication of the effectiveness of the algorithm. The hybrid algorithms perform better in terms of precision, rate of convergence, reliability, robustness and flocking capability for homogenous set of swarm robots compared to some existing variants of PSO. Lieferzeit 1-2 Werktage.
3
Swarm Robotics Cooperative Movement Control using PSO & IPM Algorithms
DE PB NW
ISBN: 9783659799907 bzw. 3659799904, in Deutsch, LAP Lambert Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Swarm Robotics Cooperative Movement Control using PSO & IPM Algorithms: Research in Particle Swarm Optimisation and its applications to real world problems has become a very interesting field in recent years. Particle Swarm Optimisation (PSO) despite its simplicity, ease of implementation and efficiency still has some flaws, which include its tendency to premature convergence and inability to escape local minima. To address these weaknesses, many variants of PSO have been proposed in the literature. Primal-Dual Particle Swarm Optimisation (pdPSO) and Primal-Dual Asynchronous Particle Swarm Optimisation (pdAPSO) algorithms are proposed to resolve the shortcomings of the standard PSO without the limitations of the IPM methods. The proposed hybrid algorithms (pdPSO and pdAPSO) were used solve the flocking and pattern formation problem in swarm robotics. The simulation result provides a clear indication of the effectiveness of the algorithm. The hybrid algorithms perform better in terms of precision, rate of convergence, reliability, robustness and flocking capability for homogenous set of swarm robots compared to some existing variants of PSO. Englisch, Taschenbuch.
Swarm Robotics Cooperative Movement Control using PSO & IPM Algorithms: Research in Particle Swarm Optimisation and its applications to real world problems has become a very interesting field in recent years. Particle Swarm Optimisation (PSO) despite its simplicity, ease of implementation and efficiency still has some flaws, which include its tendency to premature convergence and inability to escape local minima. To address these weaknesses, many variants of PSO have been proposed in the literature. Primal-Dual Particle Swarm Optimisation (pdPSO) and Primal-Dual Asynchronous Particle Swarm Optimisation (pdAPSO) algorithms are proposed to resolve the shortcomings of the standard PSO without the limitations of the IPM methods. The proposed hybrid algorithms (pdPSO and pdAPSO) were used solve the flocking and pattern formation problem in swarm robotics. The simulation result provides a clear indication of the effectiveness of the algorithm. The hybrid algorithms perform better in terms of precision, rate of convergence, reliability, robustness and flocking capability for homogenous set of swarm robots compared to some existing variants of PSO. Englisch, Taschenbuch.
4
Swarm Robotics Cooperative Movement Control using PSO & IPM Algorithms
DE PB NW
ISBN: 9783659799907 bzw. 3659799904, in Deutsch, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, European-Media-Service Mannheim [1048135], Mannheim, Germany.
Publisher/Verlag: LAP Lambert Academic Publishing | Research in Particle Swarm Optimisation and its applications to real world problems has become a very interesting field in recent years. Particle Swarm Optimisation (PSO) despite its simplicity, ease of implementation and efficiency still has some flaws, which include its tendency to premature convergence and inability to escape local minima. To address these weaknesses, many variants of PSO have been proposed in the literature. Primal-Dual Particle Swarm Optimisation (pdPSO) and Primal-Dual Asynchronous Particle Swarm Optimisation (pdAPSO) algorithms are proposed to resolve the shortcomings of the standard PSO without the limitations of the IPM methods. The proposed hybrid algorithms (pdPSO and pdAPSO) were used solve the flocking and pattern formation problem in swarm robotics. The simulation result provides a clear indication of the effectiveness of the algorithm. The hybrid algorithms perform better in terms of precision, rate of convergence, reliability, robustness and flocking capability for homogenous set of swarm robots compared to some existing variants of PSO. | Format: Paperback | Language/Sprache: english | 348 pp.
Von Händler/Antiquariat, European-Media-Service Mannheim [1048135], Mannheim, Germany.
Publisher/Verlag: LAP Lambert Academic Publishing | Research in Particle Swarm Optimisation and its applications to real world problems has become a very interesting field in recent years. Particle Swarm Optimisation (PSO) despite its simplicity, ease of implementation and efficiency still has some flaws, which include its tendency to premature convergence and inability to escape local minima. To address these weaknesses, many variants of PSO have been proposed in the literature. Primal-Dual Particle Swarm Optimisation (pdPSO) and Primal-Dual Asynchronous Particle Swarm Optimisation (pdAPSO) algorithms are proposed to resolve the shortcomings of the standard PSO without the limitations of the IPM methods. The proposed hybrid algorithms (pdPSO and pdAPSO) were used solve the flocking and pattern formation problem in swarm robotics. The simulation result provides a clear indication of the effectiveness of the algorithm. The hybrid algorithms perform better in terms of precision, rate of convergence, reliability, robustness and flocking capability for homogenous set of swarm robots compared to some existing variants of PSO. | Format: Paperback | Language/Sprache: english | 348 pp.
5
Swarm Robotics Cooperative Movement Control using PSO & IPM Algorithms (2017)
EN PB NW
ISBN: 9783659799907 bzw. 3659799904, in Englisch, 348 Seiten, LAP LAMBERT Academic Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versandfertig in 1 - 2 Werktagen, Versandkostenfrei. Tatsächliche Versandkosten können abweichen.
Von Händler/Antiquariat, expressbuch24.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, expressbuch24.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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