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Several features such as dynamic parameter tuning, efficient constraint handling and Pareto gridding are inserted in proposed MOPSO.
Simulation results clearly demonstrate the importance of employing an efficient constraint handling method to solve the ORPD problem effectively.
The difficulty is in the exploitation of dominance relations in order to discard the so-called non-Pareto optimal solutions inside a decision domain, which complicates the design of complete and efficient constraint propagation methods exploiting dominance relations.
A global search algorithm with an efficient constraint handling method has been developed and used here to optimize a suite of inviscid and viscous compressible aerofoil test cases using varying numbers of modal parameters.
Since, the basic version of the Stochastic Fractal Search is proposed for unconstrained optimization, in this research, an efficient constraint handling method is implemented to handle complex nonlinear constraints of the problem.
The results indicate that the suggested optimum operation strategy may be economically beneficial in all methods but the third one, which is proposed by Deb [Deb, K. (2000). An efficient constraint handling method for generic algorithms.
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Many constraints have efficient constraint-specific propagation algorithms.
This paper proposes a transformation-based approach to design efficient constraint-based analysis at a larger granularity.
Then Deb et al. (2002) developed a powerful meta-heuristic technique known as NSGA-II which in comparison with NSGA has less computational complexity, less parameters, elitist strategy and is an efficient constraint-handling method.
Combinations of low energy normal modes [1] are used to guide a simulation pathway, whereas an efficient constraints correction approach is applied to generate stereochemically allowed conformations.
Flux Balance Analysis (FBA) is a simple but efficient constraint-based model for cellular metabolism [ 19].
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