Motivated by the problem of bounding number iterations simplex algorithm, we investigate possible lengths monotone paths followed inside oriented graphs polyhedra (orien...

this paper extends the sequential learning algorithm strategy of two different types of adaptive radial basis function-based (rbf) neural networks, i.e. growing and pruning radial basis function (gap-rbf) and minimal resource allocation network (mran) to cater for on-line identification of non-linear systems. the original sequential learning algorithm is based on the repetitive utilization of s...

Combined heat and power (CHP) production is an increasingly important energy production technology. CHP production is usually applied in back pressure plants, where the heat and power generation follows a joint characteristic. A CHP system may also comprise separate heat and power production facilities. Cost-efficient operation of a CHP system can be planned using an optimisation model based on...

An algorithm for time-adaptive quantile regression is presented. The algorithm is based on the simplex algorithm, and the linear optimization formulation of the quantile regression problem is given. The observations have been split to allow a direct use of the simplex algorithm. The simplex method and an updating procedure are combined into a new algorithm for time-adaptive quantile regression,...

Linear programming (LP) is an important tool for many inter-disciplinary optimization problems. The Simplex method is the most widely used algorithm to solve LP problems and has immense impact on several developments in various fields. With development of public domain and commercial software solvers, it has been automated and made available for use. A serious bottleneck in implementation of Si...

An adaptive genetic-simplex algorithm for parameter optimization in nuclear power plant is proposed by using adaptive crossover and mutation techniques and integrating genetic algorithm with simplex algorithm. The modified algorithm enables the handing of nonlinear constrained optimization problem because of dramatically improved search capability. Performance comparison between the proposed al...

An approximation algorithm for solving a sort of non-smooth programming is proposed. In the programming, the objective function is the Hölder function and the feasible region is contained in a simplex (viz. hyper-simplex). To establish the algorithm, the properties of the Hölder function and an approximation of the function by using Bernstein α-polynomial are studied. According to the propertie...

facility location-allocation models are used in a widespread variety of applications to determine the number of required facility along with the relevant allocation process. in this paper, a new mathematical model for the capacitated multi-facility location-allocation problem with probabilistic customer's locations and fuzzy customer’s demands under the hurwicz criterion is proposed. ...

Facility location-allocation models are used in a widespread variety of applications to determine the number of required facility along with the relevant allocation process. In this paper, a new mathematical model for the capacitated multi-facility location-allocation problem with probabilistic customer's locations and fuzzy customer’s demands under the Hurwicz criterion is proposed. Thi...

network expansion studies normally offer new power lines, new substations or expansion of existing substations. they are generally proposed based on technical requirements, but financial restrictions are not considered. because of financial restrictions, ranking of network expansion plans is required. in this paper an algorithm for such ranking, based on technical and financial view points and ...