Increasing of net energy storage (Q net) and discharge time of phase change material (t PCM), simultaneously, are important purpose in the design of solar systems. In the present paper, Multi-Objective (MO) based on hybrid of Particle Swarm Optimization (PSO) and multiple crossover and mutation operator is used for Pareto based optimization of solar systems. The conflicting objectives are Q net...

an optimal desirability function method is proposed to optimize multiple responses in multiple production scenarios, simultaneously. in dynamic environments, changes in production requirements in each condition create different production scenarios. therefore, in multiple production scenarios like producing in several production lines with different technologies in a factory, various fitted res...

in this paper the optimal design of a dissipator made of aluminium and steel and principallysubjected to shear forces and the preliminary results of the characterization tests are described.the device has been designed on the basis of an optimization procedure with the objective tomaximize the energy dissipated in the device. the response of a 3d frame equipped with thedevice and subjected to 7...

Application of multiple response optimizations using desirability function in the production of microbial metabolites improves economy and efficiency. Concurrent production of cellulase and xylanase in Trichoderma reesei NCIM 1186 using an agricultural weed, Prosopis juliflora pods, was studied. The main aim of the study was to optimize significant medium nutrient parameters for maximization of...

Policies for the joint identification and control of uncertain systems are presented. The discussion focuses on the case of a multiple input, single output linear system, with no dynamics and quadratic cost, and system parameters assumed to have a known Gaussian distribution. Extensions for multiple output, and for finite impulse response systems are straightforward. The policies proposed are h...

  An optimal desirability function method is proposed to optimize multiple responses in multiple production scenarios, simultaneously. In dynamic environments, changes in production requirements in each condition create different production scenarios. Therefore, in multiple production scenarios like producing in several production lines with different technologies in a factory, various fitted r...

In this paper, a new method based on genetic-fuzzy algorithm for multi-objective optimization is proposed. This method is successfully applied to several multi-objective optimization problems. Two examples are presented: the first example is the optimization of two nonlinear mathematical functions and the second one is the design of PI controller for control of an induction motor drive supplie...

This paper presents comparative assessment of the performance characteristics of two optimization algorithms, namely a deterministic nonlinear least squares (NLS) optimization and a stochastic adaptive simulated (ASA) annealing global optimization, implemented in the context of a two-stage structural damage severity estimation approach. First, both the standard NLS and global ASA optimization a...