Evolutionary algorithms for hard quantum control

Evolutionary Algorithms for Fuzzy Control

Applying Adaptive Evolutionary Algorithms to Hard Problems

This report is based on the work I have done for my Master Thesis project. The project as a whole consists of research done in the eld of evolutionary computation, and it is split into two distinct parts. The main theme is adaptive evolutionary algorithms. The rst part covers the research done on solving binary constraint satisfaction problems using adaptive evolutionary algorithms. This involv...

Prospective Algorithms for Quantum Evolutionary Computation

This effort examines the intersection of the emerging field of quantum computing and the more established field of evolutionary computation. The goal is to understand what benefits quantum computing might offer to computational intelligence and how computational intelligence paradigms might be implemented as quantum programs to be run on a future quantum computer. We critically examine proposed...

Simple Seeding of Evolutionary Algorithms for Hard Multiobjective Minimization Problems

The paper describes a simple seeding method to be used with evolutionary algorithms for the solution of hard multiobjective minimization problems. Included are computational results for a speci c implementation.

Efficient Data Mining with Evolutionary Algorithms for Cloud Computing Application

With the rapid development of the internet, the amount of information and data which are produced, are extremely massive. Hence, client will be confused with huge amount of data, and it is difficult to understand which ones are useful. Data mining can overcome this problem. While data mining is using on cloud computing, it is reducing time of processing, energy usage and costs. As the speed of ...