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RISSome new solution concepts in generalized fuzzy multiobjective optimization problems
Some new solution concepts to a general fuzzy multiobjective nonlinear programming problem are introduced in this research, and four scalarization techniques are proposed to obtain them. Then, the relation between the set ...
Optimum Design for A Hybrid System with Respect to Cost and Reliability Based on Stochastic Methods
In the recent years, there is a growing trend of energy consumption all over the world, and we are facing an unquenchable demand for electricity. On the other hand, international growth in natural gas price and different ...
To Celigny, in the footprints of vilfredo pareto's "optimum" [Historical Corner]
Three-dimensional path planning for UAV based on improved PSO algorithm
pareto-optimal solutions for multi-objective optimization of turning operation using nondominated sorting genetic algorithm
solutions, largely known as Pareto-optimal solutions. Evolutionary algorithms have been recognized to be well suited for multi-objective optimization because of their capability to evolve a set of nondominated solutions distributed along the Pareto Front...
A strength Pareto evolutionary algorithm–based conflict assessment framework of electricity market participants’ objectives in generation maintenance scheduling
-objective optimization problem was introduced by which a set of compromise solutions, denoted as a Pareto-optimal front, can be found. To discover the front, the strength Pareto evolutionary algorithm was used
as a robust evolutionary optimization technique...