In this paper, a population-based algorithm inspired by the kidney process in the human
body is proposed. In this algorithm the solutions are filtered in a rate that is calculated based …

The selection of features from data, as one of the most important tasks in data mining,
strongly affects the accuracy of classification. The removal of irrelevant and redundant …

Purpose Metaheuristic algorithms are classified into two categories namely: single-solution
and population-based algorithms. Single-solution algorithms perform local search process …

This paper presents a new piecewise linear modeling method for the planning of polyvinyl
chloride (PVC) plants. In our previous study (Ind. Eng. Chem. Res., 2016, 55, 12430− 12443 …

In this paper, multivariate polynomials in the Bernstein basis over a box (tensorial Bernstein
representation) are considered. A new matrix method for the computation of the polynomial …

In this paper, a new Lagrange relaxation based decomposition algorithm for the integrated
offshore oil production planning optimization is presented. In our previous study (Gao et al …

Integrated design of controlled mechanical systems—wherein structure and controls are
designed concurrently as opposed to sequentially—has proven to yield a better optimal …

This paper proposes a distributed architecture for solving the optimal power flow (OPF)
problem in power systems operation. Specifically, a centralized solution approach (to solve …

Global optimization problems have played important roles in various fields in academia and
industry, and branch and bound methods have been considered one of the fundamental …

Mixed-integer nonlinear programming (MINLP) problems are known to be challenging due
to the involvement of nonlinear mathematical relations and combinatorial complexities. In …