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The improved genetic algorithm (IGA) introduces local search as a means of acceleration and refinement of the solutions of genetic search. The experiments show ...
Abstract. The article points out that the traditional methods for multi-objective optimization exist some drawbacks, and presents a new method for multi- ...
The study presents a novel weight-based multiobjective immune genetic algorithm(WBMOIGA), which is an improvement of its first version.
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In view of the slow computational rate and close competition of simple genetic algorithm, we propose an improved genetic algorithm using the multiple farm ...
An advanced Pareto multi-objective optimization with genetic algorithm was developed based on a novel vector module adaptive function and is shown to be ...
We improved the common Genetic Algorithm for optimal allocation of multi-site land use. •. Additive objectives, spatial objectives, and planning regulatory ...
Mar 15, 2021 · I am trying to solve a problem using genetic algorithm. I have 4 outputs: over-population; under-population; over-time; under-time. My objective ...
A new multi-objective optimization genetic algorithm (C)AFZGA is proposed and validated. · The Pareto non-dominated fronts are replaced with zones computed ...
Jan 24, 2013 · Abstract: Multi-objective optimization (MO) has been an active area of research in the last two decades. In multi-objective genetic.
PDF | We extend an improved GA (GA-SRM) to the multi-objective flowshop scheduling problem (FSP) in order to obtain better pareto-optimum solutions.