Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mohan Yogeswaran"'
Publikováno v:
In Journal of Cleaner Production 10 July 2020 261
Autor:
S. G. Ponnambalam, Mohan Yogeswaran
Publikováno v:
Advanced Knowledge Application in Practice
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19b48817d809414c6381b30c7c024588
http://www.intechopen.com/articles/show/title/swarm-robotics-an-extensive-research-review
http://www.intechopen.com/articles/show/title/swarm-robotics-an-extensive-research-review
Autor:
Mohan, Yogeswaran
Swarm robotics is the study of how large number of relatively simple physically embodied agents can be designed such that a desired collective behavior emerges from the local interactions among agents and between the agents and the environment. It is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f3108613538df3d4dbe537aba610278
Autor:
S. G. Ponnambalam, Mohan Yogeswaran
Publikováno v:
OPSEARCH. 49:223-236
The exploration–exploitation dilemma has been an unresolved issue within the framework of multi-agent reinforcement learning. The agents have to explore in order to improve the state which potentially yields higher rewards in the future or exploit
Publikováno v:
International Journal of Production Research. 47:5421-5448
In this paper, a machine loading problem in a flexible manufacturing system (FMS) is discussed, with bi-criterion objectives of minimising system imbalance and maximising system throughput in the occurrence of technological constraints such as availa
Publikováno v:
SIS
The main focus of this paper is to study and develop an efficient learning policy to address the exploration vs. exploitation dilemma in a multi-objective foraging task in swarm robotics domain. An efficient learning policy called FIFO-list is propos
Autor:
S. G. Ponnambalam, Mohan Yogeswaran
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642158094
FIRA RoboWorld Congress
FIRA RoboWorld Congress
The trade-off issue between exploitation and exploration in multi-agent systems learning have been a crucial area of research for the past few decades. A proper learning policy is necessary to address the issue for the agents to react rapidly and ada
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5943043017c7b3a774abc1a7424ddff0
https://doi.org/10.1007/978-3-642-15810-0_25
https://doi.org/10.1007/978-3-642-15810-0_25
Autor:
S. G. Ponnambalam, Mohan Yogeswaran
Publikováno v:
Intelligent Robotics and Applications ISBN: 9783642165863
ICIRA (2)
ICIRA (2)
This paper evaluates the performances of the reported q-learning policies for multi-agent systems. A set of extensively used policies were identified in the open literature namely greedy, e-greedy, Boltzmann Distribution, Simulated Annealing and Prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf15de17a657f3a34b1b287deafd6f62
https://doi.org/10.1007/978-3-642-16587-0_54
https://doi.org/10.1007/978-3-642-16587-0_54
Publikováno v:
CASE
A multi-objective integrated scheduling of machines and material handling equipment in an automated manufacturing system is addressed in this paper. The FMS environment is modeled with the incorporation of six multioperational machines and two automa
Publikováno v:
CASE
A machine loading problem in flexible manufacturing system (FMS) is discussed with bicriterion objectives of minimizing system unbalance and maximizing system throughput in the occurrence of technological constraints such as available machining time