A multi-objective order-planning model is formulated for manufacturing steel sheets.
A methodology, integrating the heat pump data base in an energy integration problem, and using multi objective optimization in order to identify optimal solutions, is presented.
Therefore, a multi objective optimization is performed in order to introduce the optimal design conditions based on an evolutionary genetic algorithm.
In this work, optimal capacities of DGs are obtained based on the multi-objective approach in order to relieve the congestion in transmission lines of the network.
Chen and Tzeng (2000) adopted fuzzy multi-objective approach in order to reduce the computational complexity of the integrated supply chain model.
This paper suggests how to perform a multi-objective optimization in order to find solutions that simultaneously satisfy exergetic and economic objectives.
The optimization tool uses a stochastic multi-objective method in order to schedule DERs and aims at minimizing the total operational costs and emissions while considering the intermittent nature of wind and solar power as well as demand forecast errors.
Each slave swarm is designed to optimize one objective function of the multi-objective problem in order to find out all the non-dominated optima of this objective function.
Then, workspace volume, manipulator dexterity, static efficiency and stiffness are chosen as objective functions for a multi-objective optimization in order to decide the geometrical parameters of the mechanism.
These facts suggest that more effort should be placed in the design of variation operators devoted to multi-objective algorithms in order to achieve superior results to those obtained by means of general variation operators.
Response surface methodology (RS M was employed in parallel with the finite element models to perform both parametric studies and multi-objective optimization in order to establish the optimal configuration of the sandwich tube.
