Loudspeaker Filter Design With AI: Genetic Algorithm Selection Methods

This thesis details the design of a selection operator used in a Genetic Algorithm. The Genetic Algorithm is used for loudspeaker filter design of three way loudspeakers for which tournament selection was chosen as selection operator. A methodology is proposed and used to tune the parameters of tournament selection, which is based on diversity...

Loudspeaker Filter Design with AI: Communication, Evaluation and User Interaction

This thesis describes the design and implementation of a controller and GUI for an AI loudspeaker filter design program. This program uses a genetic algorithm to create a combination of analog passive filters, one for each driver in a loudspeaker system. In the controller, two cost functions are designed to evaluate these filter combinations,...

Loudspeaker filter optimization with AI: Electrical circuit representation, mutation and analysis for AI

This paper reports the design of a part of a genetic algorithm, which is made to design analog filters for loudspeakers. The part in this report is the part which deals with the representation of electrical filter circuits, the mutation of these filters, and finding their transfer function. The considered representations are graph coding and a...

Genetic algorithm-based program synthesizer for the construction of machine learning pipelines

Because of the growing presence of artificial intelligence, developers are looking for more efficient methods to construct machine learning algorithms. Program synthesizers allow us to produce algorithms consisting of scalers, feature selection and classifiers. Each of these pipelines is a potential solution to the given machine learning task....

Genetic Algorithms for Inductive Program Synthesis

VanillaGP is an Inductive Program Synthesis algorithm that takes a Genetic Algorithm (GA) approach by using its 3 components: selection, mutation, and crossover. Many different alternatives exist for these components and although this is not the only application of a GAs on the Program Synthesis domain, it has not been extensively evaluated what...

Evolving a Search Procedure for Program Synthesis

In recent months, researchers developed several new search procedures to augment the process of program synthesis. While many of them performed better than their predecessors, the proposed solutions are still far from ideal. One possible way of overcoming the shortcomings of single search methods is employing genetic algorithms, which have been...

Genetic Algorithm for Evolving an Objective Function of a Program Synthesizer

Program Synthesis is a challenging problem in Artificial Intelligence. An important element of a program synthesizer is the objective function that guides the combinatorial search for a program that satisfies a given user intent. Given multiple I/O example transformations that correspond to the intended behavior of the program, this function...

Evolving a Domain-Specific Language to Speed Up Program Synthesis

Program synthesis is used in various ways to automate repetitive tasks or to generate software automatically. Search-based program synthesis constitutes searching the space of candidate programs created from a given language. However, this form of program synthesis is very expensive in terms of computing power. By optimising the synthesiser’s...

Evolving Design Patterns for Program Synthesis

Design pattern provide an abstraction that the pro- gram synthesis algorithm can use in order to find programs easier. However, coming up with them is difficult as they are domain-specific. This paper showcases a novel approach to creating design pat- terns through the means of genetic algorithms. Re- sults are showing that while in the robot...

VanillaGP: Genetic Algorithm for Inductive Program Synthesis

Inductive Program Synthesis is the problem of generating programs from<br/>a set of input-output examples. Since it can be reduced to the search problem in the space of programs, many search algorithms have been successfully<br/>applied to it over the years. This paper proposes, develops, and analyses<br/>a novel algorithm in the family of...

Optimization of tandem solar cells with genetic algorithms

Tandem solar cells are a new type of solar cells that are currently being developed. Soms proporties of these solar cells are variable. In this scription, it is studied how genetic algoritms can be applied to optimize these tandem solar cells. Genetic algoritms are algorithms that find a good solution using the principles of evolution theory. It...

Spatial configurations and learning rules impact on the evolution of cooperative behaviour in the n-person iterative prisoner’s dilemma

Decision-making dynamics and their impact of human behaviour have raised a large number of questions throughout the years. Traits like competition and collaboration amongst agents are often studied, in the context of Game Theory, by the medium of games such as the Iterative Prisoners’ Dilemma.Furthermore, many realistic scenarios and possible...

Effects of Group-based Agents on Iterated Prisoner's Dilemma Strategies in Evolving Spatial Environments

The feeling of belongingness, to be a member of a group, is rooted in human evolutionary history. Cooperative behaviour within such groups has since been an important research topic. The evolution of cooperation in the iterated prisoner's dilemma (IPD) has been shown to be an effective tool of simulating and analysing this behaviour. However, it...

Soft-skill Profile Based Group Formation System

OKademy is a start-up that wants to improve the healthcare in the Netherlands by improving the process by which graduated medical students are being matched to a hospital team. This is needed since there is a lack of surgery<br/>assistants, while graduate students need to wait on average six months to start their work in a hospital. To match...

A Systematic Design Space Exploration of Datacenter Schedulers

Datacenter infrastructure has become vital for stakeholders across industry, academia and government. To operate efficiently, datacenter operators rely on a variety of complex scheduling techniques, to distribute user workloads across resources. In this work, we leverage a reference architecture for datacenter scheduling to design and implement...

Automated Pricing Suggestions

As Machine Learning is becoming more accessible to small businesses, thanks to the rapid advance in computing power, smaller start-ups such as Sjauf (a ride sharing start-up) are starting to get interested in implementing Machine Learning solutions in their product. Sjauf needed a system that could automatically tell its customers how much a...

Dynamic Distribution through the city of Amsterdam

This report explains the design choices, implementation and results of a software engineering project commissioned by MakeTek. The team was tasked with making a system that could solve bike delivery scheduling problems with limited bike carrying capacity, time windows, dynamic delivery additions, movable pickup points and delivery time estimates...