Abstract This paper extends the numerical tuning of tree constants in genetic programming (GP) to multiobjective domain. Using ten real-world benchmark regression datasets and employing Bayesian comparison procedures, we first consider effects feature standardization (without constant tuning) conclude that generally produces lower test errors, but, contrary other recently published work, find m...

Abstract In this paper, a class of directionally differentiable multiobjective programming problems with inequality, equality and vanishing constraints is considered. Under both the Abadie constraint qualification modified qualification, Karush–Kuhn–Tucker type necessary optimality conditions are established for such nondifferentiable vector optimization by using nonlinear version Gordan theore...

Static and dynamic multiobjective topology optimization of trusses with interval parameters is investigated. The uncertain parameters of the trusses are described by an interval model. The multiobjective topology optimization model of trusses with interval parameters is constructed. On the basis of Taylor expansion and natural interval extension, the stress and displacement response intervals u...

In this paper multiobjective optimization problem simultaneously optimized using hybrid PS-ACO algorithm has been attempted. The methodology used in this paper is based upon the information sharing and movement of swarms or particles in a search space, and further applying ACO on the result obtained by the PSO. Multiobjective optimization problems are present at physical design level at partiti...