This paper investigates the search performances of various meta-heuristics (MHs) for solving truss mass minimisation with dynamic constraints. Several established MHs were used to solve five truss optimisation problems. The results obtained from using the various MHs were statistically compared based upon convergence rate and consistency. It was found that the best optimisers for this design ta...

Electrostimulation (ES) can be defined as a safe physical method to induce stem cell differentiation. The aim of this study is to evaluate the effectiveness of ES on bone marrow mesenchymal stem cells (BMSCs) seeded in collagen scaffolds in terms of proliferation and differentiation into cardiomyocytes. BMSCs were isolated from Wistar rats and seeded into 3D collagen type 1 templates measuring ...

Limited-memory BFGS (L-BFGS; Liu and Nocedal, 1989 ) is often considered to be the method of choice for continuous optimization when first- or second-order information is available. However, the use of L-BFGS can be complicated in a black box scenario where gradient information is not available and therefore should be numerically estimated. The accuracy of this estimation, obtained by finite di...

This paper presents a method for parameter estimation of complex chemical kinetics by an evolution strategy which uses a scheme called covariance matrix adaptation. The advantage of this scheme is that a completely derandomized self-adaptation of mutation distribution can be achieved. The used algorithm utilizes even cumulation to improve the performance. The method was tested on experimental d...

The effect of multi-parent recombination on Evolution Strategies(ES) is investigated empirically on a set of real-valued test functions. The multi-parent versions of intermediate recombination and discrete recombination are applied to both objective variables and strategy parameters. Computer simulations of the multi-recombinant ES ((μ/μ,λ)-ES) are conducted using Gaussian mutation and Cauchy m...

Real-world problems often involve the optimisation of multiple conflicting objectives. These problems, referred to as multi-objective optimisation problems, are especially challenging when more than three objectives are considered simultaneously. This paper proposes an algorithm to address this class of problems. The proposed algorithm is an evolutionary algorithm based on an evolution strategy...

BACKGROUND "Evolution Canyon" (ECI) at Lower Nahal Oren, Mount Carmel, Israel, is an optimal natural microscale model for unraveling evolution-in-action, highlighting the evolutionary processes of biodiversity evolution, adaptation, and incipient sympatric speciation. A major model organism in ECI is the tetraploid wild emmer wheat, Triticum dicoccoides (TD), the progenitor of cultivated emmer ...

BACKGROUND Coat coloration in mammals is an explicit adaptation through natural selection. Camouflaging with the environment is the foremost evolutionary drive in explaining overall coloration. Decades of enquiries on this topic have been limited to repetitive coat color measurements to correlate the morphs with background/habitat blending. This led to an overwhelming endorsement of concealing ...

In many areas of science and engineering researchers consider systems that can be solely examined by their input and output characteristics without any knowledge of their internal workings. Such black-box systems are the topic of the present thesis. In many practical cases, a black box comprises a complex mathematical model, a computer simulation, a real-world experiment, or a combination of an...

We compare the speed and effectiveness of two genetic optimization algorithms to the results of statistical sampling via a Markov chain Monte Carlo algorithm to find which is the most robust method for determining real space structure in periodic gratings measured using critical dimension small angle X-ray scattering. Both a covariance matrix adaptation evolutionary strategy and differential ev...