Abstract
Evolutionary algorithms are effective in solving complex nonlinear optimization problems with multiple conflicting objectives. League Championship Algorithm (LCA) is a recently proposed single-objective evolutionary algorithm which has shown impressive results on benchmark problems used in Conference on Evolutionary Computation (CEC). In this work, two multi-objective versions of LCA, viz. NS-LCA and ε-dominance LCA are proposed which utilizes non-dominated sorting of solutions and ε-dominance concept respectively to solve multi-objective problems. Performance of both algorithms has been tested on three multi-objective optimal control problems.
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Maharana, D., Maheshka, S., Kotecha, P. (2019). Multi-objective League Championship Algorithms and its Applications to Optimal Control Problems. In: Panigrahi, B., Trivedi, M., Mishra, K., Tiwari, S., Singh, P. (eds) Smart Innovations in Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 669. Springer, Singapore. https://doi.org/10.1007/978-981-10-8968-8_4
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DOI: https://doi.org/10.1007/978-981-10-8968-8_4
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