Abstract
Currently there are lots of Swarm Intelligence algorithms available that can be used in optimization problems. The modified Multi-objective Firefly algorithm proposed in the present work is used to find an optimal path for mobile robots in a static environment. The algorithm is based on the flashing behavior of the fireflies in nature, hence called the Firefly Algorithm (FA). The proposed approach takes into account three objectives to obtain efficient and optimal solutions and is used to plan a path for mobile robots in a static environment. The three objectives are as follows: path length, path safety and path smoothness. The results were obtained after optimizing for all three parameter values over several Iterations (generations) for different population sizes and different sets of obstacles. The performance of the proposed multi-objective Firefly algorithm was compared to the results obtained using the classical NSGA-II approach.
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Bhanaria, P., Maneesha, Pandey, P.K. (2023). A Multi-objective Path–Planning Based on Firefly Algorithm for Mobile Robots. In: Mishra, A., Gupta, D., Chetty, G. (eds) Advances in IoT and Security with Computational Intelligence. ICAISA 2023. Lecture Notes in Networks and Systems, vol 755. Springer, Singapore. https://doi.org/10.1007/978-981-99-5085-0_14
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