In order to solve the challenge of multi-objective optimization of automotive power train, in view of the shortcomings of the existing improved particle swarm optimization algorithm, an innovative ...

In the field of single objective optimization algorithms, learned evolutionary algorithms have achieved success in obtaining better performance than human-designed strategies. However, these learnable ...

Genetic algorithms are widely used in the context of multi-objective optimisation due to their overall straightforward implementation and numerous other advantages.

In this paper, we pose the goal programming problem as a multi-objective optimization problem of minimizing deviations from individual goals and then suggest an evolutionary optimization algorithm to ...

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 ...

A high-performance, modular Go library for exploring and applying genetic algorithms, with a special focus on multi-objective graph layout optimization. This project is the artifact of the research ...

Call for Papers Natural Intelligence-Inspired Adaptive Metaheuristics for Solving Multi-Objective Optimization Problems Over the past few years, natural intelligence-inspired adaptive metaheuristics ...