This paper examines and ranks restoration alternatives for improving fish habitat by evaluating tradeoffs between fish production and restoration costs. Optimization modelling is used to maximize out‐migrating coho salmon (Oncorhynchus kisutch) from a natal stream and is applied as a case study in California’s Shasta River. Restoration activities that alter flow and water temperature conditions...

for all industrial processes, modelling, optimisation and control are the keys to enhance productivity and ensure product quality. in the current study, the optimization of process parameters for improving the conversion of isoeugenol to vanillin by psychrobacter sp. csw4 was investigated by means of taguchi approach and box-behnken statistical design under resting cell conditions. taguchi desi...

Defects of the roll forming process are affected by amount and situation of the strains distribution. The effect of the process parameters on the strain distribution in the round cross section roll forming process has been studied. Finite element and response surface method have been used for process modelling. Then desirability functions approach and overlaid counter plots have been employed f...

Response surface methodology is a widely used technique for modelling and optimization of the photocatalytic treatment processes of water and wastewater. This methodology not only estimates linear, interaction and quadratic effects of the factors on the response, but also provides a prediction model for the response at the range of the variables studied and the optimum conditions to achieve the...

In water resources optimization problems, the objective function usually presumes to first run a simulation model and then evaluate its outputs. However, long simulation times may pose significant barriers to the procedure. Often, to obtain a solution within a reasonable time, the user has to substantially restrict the allowable number of function evaluations, thus terminating the search much e...

The increasing use of expensive computer simulations in engineering places a serious computational burden on associated optimization problems. Surrogate modelling becomes standard practice in analyzing such expensive blackbox problems. Moreover, surrogate based optimization (SBO) is able to drastically reduce the number of needed function evaluations with respect to traditional methods. This pa...

Recently there has been much attention to MDL and its effectiveness in automatic shape modelling. One problem of this technique has been the slow convergence of the optimization step. In this paper the Jacobian of the objective function is derived. Being able to calculate the Jacobian, a variety of optimization techniques can be considered. In this paper we apply steepest descent and show that ...

We describe a stochastic optimization method that can be used to solve inverse problems in epidemic modelling. Although in general it cannot be expected that these inverse problems have solutions and that possible solutions can be approximated by local optimization methods, our optimization method worked well when applied to a model for the epidemics caused by Respiratory Syncytial Virus (RSV) ...

Background: This paper presents parametric modelling of flexible plate structures using ant colony optimization (ACO). The global optimization technique of ACO is utilized to obtain a dynamic model of a flexible plate structure based on one-step-ahead (OSA) prediction. Objective: The structure is subjected to three different disturbance signal types, namely random, pseudo random binary sequence...

This paper presents a novel fuzzy identification method for dynamic modelling of quadrotor UAVs. The method is based on a special parameterization of the antecedent part of fuzzy systems that results in fuzzy-partitions for antecedents. This antecedent parameter representation method of fuzzy rules ensures upholding of predefined linguistic value ordering and ensures that fuzzy-partitions remai...