MiniZinc is a solver-independent constraint modeling language which is increasingly used in the constraint programming community. It can be used to compare different solvers which are currently based on either Constraint Programming, Boolean satisfiability, Mixed Integer Linear Programming, and recently Local Search. In this paper we present a stochastic continuous optimization backend for Mini...

Wireless Sensor Networks (WSN) have been studied intensively for various applications such as monitoring and surveillance. Sensor deployment is an essential part of WSN, because it affects both the cost and capability of the sensor network. However, most deployment schemes proposed so far have been based on over-simplified assumptions, where results may be far from optimal in practice. Our prop...

The vast majority of population-based optimization algorithms use selection in such a way that the nonselected individuals do not have any effect on the evolution at all, even though they may carry a valueable information — information about the local shape of the search distribution and/or about the search space areas where the search should be suppressed. This article describes a unified way ...

The design of passive photonic devices based on geometry optimization can lead to energy-efficient, small-footprint, and fabrication-ready geometries. In this work, we propose an angle-based parametrization method optimize Y-junction splitters multimode interferometers. selected figure merit was the transmittance in SCL OESCL optical fiber communication bands. performances three methods were co...

The covariance matrix self-adaptation evolution strategy with repelling subpopulations (RS-CMSA-ES) is one of the most successful multimodal optimization (MMO) methods currently available. However, some its components may become inefficient in certain situations. This study introduces second variant this method, called RS-CMSA-ESII. It improves adaptation schemes for normalized taboo distances ...

Abstract Digital twin (DT) technology is currently gaining popularity in a variety of industrial applications. Recently, the China Institute Nuclear Power proposed data driven by nuclear reactor digital twin. The solves forward problem for physical field simulation and inverse parameter identification. can be viewed as black-box optimization where input parameters are identified Latin hypercube...

The electro-thermomechanical modeling study of the High Electron Mobility Transistor (HEMT) has been presented, all necessary equations are detailed and coupled. This proposed by finite element method using Comsol multiphysics software, allowed to behaviour transistor observe different degradations in structure component. Then, an optimization is avoid failures transistor. In this work, we have...

The investigations in the paper have been carried out against the background of an integrated approach to the structural design problem. Due to the complex nature of the search space and the continous-discrete-binary system vector in the general case of structural optimization, conventional methods can not be used. Evolution strategies have shown their general capability to solve the sizing and...

The CSA-ES is an Evolution Strategy with Cumulative Step size Adaptation, where the step size is adapted measuring the length of a so-called cumulative path. The cumulative path is a combination of the previous steps realized by the algorithm, where the importance of each step decreases with time. This article studies the CSA-ES on composites of strictly increasing functions with affine linear ...

The CSA-ES is an Evolution Strategy with Cumulative Step size Adaptation, where the step size is adapted measuring the length of a so-called cumulative path. The cumulative path is a combination of the previous steps realized by the algorithm, where the importance of each step decreases with time. This article studies the CSA-ES on composites of strictly increasing functions with affine linear ...