In this paper, we prove some new fixed point theorems for multi-valued mappings under new contractions by proposing a new class of functions. The results of this paper improve several results in the literatures. And we extend the results into metric-like spaces, which expand the application range of the results. c ©2016 All rights reserved.

Decision Neural Network is a new approach for solving multi-objective decision-making problems based on artificial neural networks. Using inaccurate evaluation data, network training has improved and the number of educational data sets has decreased. The available training method is based on the gradient decent method (BP). One of its limitations is related to its convergence speed. Therefore,...

Within the last 10 years, many model-based multi-objective optimization algorithms have been proposed. In this paper, a taxonomy of these algorithms is derived. It is shown which contributions were made to which phase of the MBMO process. A special attention is given to the proposal of a set of points for parallel evaluation within a batch. Proposals for four different MBMO algorithms are prese...

Multi-objective optimization problems are often accompanied by complex black-box functions which not only increases the difficulty of solving, but also solving time. In order to reduce computational cost such multi-objective problems, this paper proposes an ARBF-MLPA (Adaptive Radial Basis Function neural network combined with Machine Learning Point Adding) method, uses ABRF Function) and OLHS ...

Renewable energy sources (RES) are very likely to continue the upward capacity trend witnessed in the past years. The reasons for adoption are varied and respond to both market pressures, influence of government intervention and a raised awareness of the consequences on the environment of the current generation fleet. The change from dispatchable generation to an environment in which Independen...

Article history: Received 31 May 2015 Received in revised form 28 January 2016 Accepted 29 January 2016 Available online xxxx The placement of certain facilities, such as radars and wind turbines, requires careful planning according to very specific geographical and spatial requirements. Such placement problems are often solved by metaheuristics which find near-optimal solutions within a fracti...

Thermal stability and Surface hardness of the super-finished surface is a very important aspect to preserve texture workpiece in MAF process. In this present study, multi-objective optimization EN-31 finished through “Increase Temperature” Hardness” are considered for diminish their impact on EN-31. work Desirability function analysis (DFA) has been used optimize desired responses Experiments w...