Sentence examples for many objective optimization from inspiring English sources

Many objective optimization results form a solution in a four dimensional hyper objective space and for visualization it is represented on a two dimension objective space.

Many objective optimization results form a set of solutions in four dimensional hyper objective space and for visualization it is represented on a two dimension objective space.

The population diversity is another difficulty for many objective optimization because the similarity is hard to estimate in high-dimensional space [86].

Different decision making approaches such as LINMAP, TOPSIS and fuzzy are used to select a final optimal solution from Pareto optimal set of many-objective optimization.

Different decision making approaches such as LINMAP, TOPSIS and fuzzy are used to select the final optimal solution from Pareto optimal set of the many-objective optimization.

Different decision making approaches that include LINMAP, TOPSIS and fuzzy are used to select the final optimal solution from the Pareto optimal set of the many-objective optimization.

Decision-making approaches like LINMAP, TOPSIS, and fuzzy are used to select the final optimal solution from the Pareto optimal set of the many-objective optimization.

This paper proposes a many-objective optimization model for the coordinated optimal dispatch of an IES.

Experimental results show that the proposed approach can guide the search to converge to the Pareto optimal front (PF) for many-objective optimization problems.

A many-objective optimization model has been developed to optimally coordinate the operation of the IES with electricity network, gas network and DHCs embedded.

Many-objective Optimization Problems (MaOPs) present various challenges to the current optimization methods.