@article {6697,
	title = {A Reliable Behavioral Model: Optimizing Energy Consumption and Object Clustering Quality by Na{\"\i}ve Robots},
	journal = {International Journal of Swarm Intelligence Research (IJSIR)},
	volume = {12},
	number = {4},
	year = {2021},
	abstract = {
	This study concerns a swarm of autonomous reactive mobile robots, qualified of na{\"\i}ve because of their simple constitution, having the mission of gathering objects randomly distributed while respecting two contradictory objectives: maximizing quality of the emergent heap-formation and minimizing energy consumed by aforesaid robots. This problem poses two challenges: it is a multi-objective optimization problem and it is a hard problem. To solve it, one of renowned multi-objective evolutionary algorithms is used. Obtained solution, via a simulation process, unveils a close relationship between behavioral-rules and consumed energy; it represents the sought behavioral model, optimizing the grouping quality and energy consumption. Its reliability is shown by evaluating its robustness, scalability, and flexibility. Also, it is compared with a single-objective behavioral model. Results{\textquoteright} analysis proves its high robustness, its superiority in terms of scalability and flexibility, and its longevity measured based on the activity time of the robotic system that it integrates.

},
	url = {https://www.igi-global.com/article/a-reliable-behavioral-model/290283},
	author = {Aouadj, Wafa and Abdessemed, Mohamed-Rida}
}
