Multi-objective optimisation using evolutionary algorithms constitutes a powerful computational framework that addresses complex problems involving conflicting objectives. By emulating natural ...

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The team's findings further revealed that, while multi-objective evolutionary algorithms hold significant potential, they still struggle with low search efficiency.

R. Pastor, , A. Duran, , Tabu Search Algorithms for an Industrial Multi-Product and Multi-Objective Assembly Line Balancing Problem, with Reduction of the Task Dispersion, The Journal of the ...

Alireza Sahebgharani, MULTI-OBJECTIVE LAND USE OPTIMIZATION THROUGH PARALLEL PARTICLE SWARM ALGORITHM, Journal of Urban and Environmental Engineering, Vol. 10, No. 1 (January to June 2016), pp. 42-49 ...