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Evolutionary algorithms (EAs) can be used as optimisation mechanisms. Based on the model of natural evolution, they work on populations of individuals instead of on single solutions. In this way, the search is performed ...

The Rijndael cipher, designed by Joan Daemen and Vincent Rijmen and recently selected as the official Advanced Encryption Standard (AES) is well suited for hardware use. This implementation can be carried out through sev...

Over the last 20 years, Bulk Current Injection (BCI) testing has become increasingly critical for assessing the electromagnetic compatibility (EMC) of integrated circuits (ICs) in automotive applications. This PhD thesis...

Tesis Energía y Ambiente (maestría) - Instituto Tecnológico de Buenos Aires, Buenos Aires - Karlsruher Institut für Technologie, Karlsruhe, 2024 "This thesis focuses on the optimisation of photovoltaic (PV) systems t...

In this thesis, a novel approach to automatically install threaded inserts into additive manufactured parts is developed and validated. Such an approach is highly relevant in the context of process automation and product...

In this paper a thermodynamic approach is presented to the problem of convergence of evolutionary algorithms. The case of the Simulated Annealing algorithm for optimisation is considered as a simple evolution strategy wi...

The Rijndael cipher, designed by Joan Daemen and Vincent Rijmen and recently selected as the official Advanced Encryption Standard (AES) is well suited for hardware use. This implementation can be carried out through sev...

La reforma del PNUMA debe estar orientada hacia su conversión y optimización de manera que pueda responder eficazmente a los acuciantes problemas presentes en el período posterior a la CNUMAD. The PNUMA reform should...

In this paper a thermodynamic approach is presented to the problem of convergence of evolutionary algorithms. The case of the Simulated Annealing algorithm for optimisation is considered as a simple evolution strategy wi...

Sequential and parallel evolutionary algorithms (EAs) are developed and evaluated on two hard optimisation problems arising in the field of Telecommunications: designing error correcting codes, and finding optimal placem...

The aim of the present research was to study the optimisation of mevastatin production by Penicillium citrinum MTCC 1256. Optimization of fermentation medium was carried out by response surface methodology. Simultaneous ...

This work summarizes results when facing the problem of allocating a number of nonidentical tasks in a parallel system. The model assumes that the system consists of a number of identical processors and that only one tas...

The problem of efficient, interactive foreground/background segmentation in still images is of great practical importance in image editing. Classical image segmentation tools use either texture (colour) information, e.g....

Given a combinatorial optimisation problem, there are typically multiple ways of modelling it for presentation to an automated solver. Choosing the right combination of model and target solver can have a significant impa...

Phase change materials (PCM) are receiving ever-growing attention as a promising construction material for improving building energy performance through thermal storage and peak load shifting. The analysis of PCM perform...

Recently, there has been growing interest in the utilization of physical systems as heuristic optimizers for classical spin Hamiltonians. A prominent approach employs gain-dissipative optical oscillator networks for this...

Abstract This paper focused to enhance the mechanical and microstructural properties of Al 7475 alloy by incorporating Si₃N₄/TiO2 hybrid ceramic particles in developing composites through Friction Stir Welding (FSW...

Evolutionary computation (EC) has been recently recognized as a research field, which studies a new type of algorithms: Evolutionary Algorithms (EAs). These algorithms process populations of solutions as opposed to most ...

The main goal of this thesis was to design new parallel processing strategies specially conceived for distributed environments in order to solve numerical and structural problems from the field of process systems enginee...

Contrasting with conventional approaches to crossover, Multiple Crossover Per Couple (MCPC) is an alternative, recently proposed [1], approach under which more than one crossover operation for each mating pair is allowed...

As a new promising crossover method, multiple crossovers per couple (MCPC) deserves special attention in evolutionary computing field. Allowing multiple crossovers per couple on a selected pair of parents provided an ext...

Subjects / keywords: control, optimisation, mathematics, applied mathematics; Science: Mathematics

Subjects / keywords: embedded intelligence, intelligent manufacturing, collaborative product design, smart products, virtual enterprises, manufacturing optimisation; Technology: Manufactures; Social Sciences: Industries. Land use. Labor: Man...

Subjects / keywords: systèmes multiphysiques, optimisation des systèmes, fiabilité, recherche, industrie; Technology: Engineering (General). Civil engineering (General): Systems engineering; Technology: Technology (General): Industrial en...