Hybrid ACO/EA algorithms applied to the multi-agent patrolling problem

Lauri, Fabrice; Koukam, Abderraf́ıâa

doi:10.1109/cec.2014.6900280

Cited by 5 publications

(3 citation statements)

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“…This is achieved by the behavior of simple agents in interaction [26,24,12]. The optimization techniques from ant colonies (Ant Colony Optimization or ACO) were applied with satisfactory results to various optimization problems such as multi-agent patrolling [27,26,18,19], graph coloring [6], the traveling salesman problem [9], and also the vehicle routing problem [23,3,2].…”

Section: Introductionmentioning

confidence: 99%

ACO Modeling: Organizational Modeling of an Ant Multi-Colonies Optimization Approach

Fute¹,

Tonyé²

2015

IJCA

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This paper describes the organizational modeling of the Ant Colony Optimization (ACO). It presents a modeling approach of the ACO based on Holonic Multi-Agent paradigm named HMAS (Holonic Multi-Agent Systems). The approach of modeling used is organizational and it uses four basic concepts: Capacity, Role, Interaction and Organization (CRIO). The Traditional modeling techniques fail to capture interactions between loosely coupled aspects of a complex system. However, the organizational model of the ACO has highlighted the different roles that can occur in such optimization device. The solving approach highlights two fundamental concepts from behavioral intensification and diversification. Since, it is difficult to distinguish an intensification from a diversification behavior, though these two trends are identifiable in the organizational model of the proposed ACO, a single role can combine the roles Intensif y and Diversif y. So, a M anager role is identified and is responsible for the coordination of research by the colonies, and the management of the pheromone memory.

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Section: Introductionmentioning

confidence: 99%

ACO Modeling: Organizational Modeling of an Ant Multi-Colonies Optimization Approach

Fute¹,

Tonyé²

2015

IJCA

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“…tiations methods Menezes et al (2006) and(Hwang, 2009). Thirdly, swarm optimization Chu et al (2007), (Glad and Simonin, 2008), (Glad and Buffet, 2009), (Wagner, 2000), (Lauri, F. and Charpillet, 2006), and (Lauri and Koukam, 2008).…”

Section: Thesis Objectivesmentioning

confidence: 99%

“…In the second stage, the ACO patrolling model carries out the patrolling tasks (Lauri, F. and Charpillet, 2006).…”

Section: Literature Reviewmentioning

confidence: 99%

Cooperative Multi-robot Patrolling: A study of distributed approaches based on mathematical models of game theory to protect infrastructures

Serrato¹

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Some people refer to a Phd or advanced research degree as a dream.Some other, as one of my best friends, called it "the dream that becomes a nightmare". In any case, I had the opportunity to pursue this dream some years ago. Undoubtedly, this fact would not has been possible without the support of many people, friends and family. I am deeply indebted to all of them. Specially, words are not enough to express my gratitude to Alberto Trasloheros Michel. Some years ago, Alberto was my teacher and mentor. Happily, now I can say that he is one of my best friends.Thanks to him, I was able to begin this wonderful journey. I am so grateful that he always trusts in me, even though results was not as good as expected. Of course, I have learned many valuable life lessons from him and I shall be eternally grateful for that.My deepest gratitude goes also to my supervisors Antonio Barrientos and Jaime del Cerro. Thank you very much for trusting in me and for providing me with the tools needed to achieve this goal. I will always appreciate the critical review that you always performed about my thesis and the insights you provided me. Undoubtedly, work with you made a huge difference in both this research and my personal life.

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Robust Multi-agent Patrolling Strategies Using Reinforcement Learning

Lauri¹,

Koukam²

2014

Swarm Intelligence Based Optimization

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Hybrid ACO/EA algorithms applied to the multi-agent patrolling problem

Cited by 5 publications

References 10 publications

ACO Modeling: Organizational Modeling of an Ant Multi-Colonies Optimization Approach

ACO Modeling: Organizational Modeling of an Ant Multi-Colonies Optimization Approach

Cooperative Multi-robot Patrolling: A study of distributed approaches based on mathematical models of game theory to protect infrastructures

Robust Multi-agent Patrolling Strategies Using Reinforcement Learning

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