Renewable energy is energy that is in continuous supply over time. These kinds of energy
sources are divided into five principal renewable sources of energy: the sun, the wind …

The successful handling of numerous real–world complex problems has increased the
popularity of nature–inspired intelligent (NII) algorithms and techniques. Their successful …

In this paper we propose a simple but efficient modification of the well-known Nelder–Mead
(NM) simplex search method for unconstrained optimization. Instead of moving all n simplex …

介绍了一种新颖的群集智能优化算法—人工蜂群算法(ABCA), 同时为提高算法的搜索效率,
在ABCA 算法中引入Nelder-Mead 单纯形算子, 提出了一种用于材料参数反演分析的混合单纯 …

Particle swarm optimisation (PSO) is a novel population-based stochastic optimisation
algorithm inspired by the Reynolds' boid model. The original biological background of boid …

Purpose–The purpose of this paper is to present an adaptive numerical algorithm for forward
kinematics analysis of general Stewart platform. Design/methodology/approach–Unlike the …

The heating of shape memory alloy (SMA) materials leads to a thermally driven phase
change which can be used to do work. An SMA wire can be thermally cycled by controlling …

The dissertation explores Kriging metamodeling for the interpolation, sensitivity analysis and
optimization of simulation models with costly computational or economic expenses. The key …

A nonlinear identification approach for describing the dynamical behavior of a Hénon
chaotic map based on Nelder–Mead simplex method and Takagi–Sugeno (T–S) fuzzy …

The identification of time delay in the linear plant is one of the important identification tasks.
Most of the conventional identification techniques, such as those based on least mean …