Ontology is the kernel technique of Semantic Web (SW), which models domain knowledge in a formal and machine-understandable way. To ensure different ontologies’ communications, cutting-edge technology to determine heterogeneous entity mappings through ontology matching process. During this procedure, it utmost importance integrate similarity measures distinguish correspondence. The way find mos...

This work describes an evolutionary algorithm (EA) for evolving the constants, weights and probabilities of a rule-based decision engine of a bot designed to play the Planet Wars game. The evaluation of the individuals is based on the result of some non-deterministic combats, whose outcome depends on random draws as well as the enemy action, and is thus noisy. This noisy fitness is addressed in...

We investigate applying an evolutionary algorithm (EA) to the design of a passive optical network (PON). We use three techniques to improve the performance. Firstly, to reduce the risk of sub-optimal convergence, we use a novel genetic encoding. Secondly, we combine the EA with a heuristic to guide the optimisation. Thirdly, we investigate various ways of sub-dividing the problem. We briefly pr...

This article presents an evolutionary algorithm (EA) for the capacitated minimum spanning tree problem occurring in telecommunication applications. The EA encodes a solution by a predecessor vector indicating for each node the preceding node at the path to the given central root node. Initialization, crossover, and mutation operators were specifically designed to provide strong locality and to ...

A hybridization of an evolutionary algorithm (EA) with the branch and bound method (B&B) is presented in this paper. Both techniques cooperate by exchanging information, namely lower bounds in the case of the EA, and partial promising solutions in the case of the B&B. The multidimensional knapsack problem has been chosen as a benchmark. To be precise, the algorithms have been tested on large pr...

This paper presents aerodynamic shape optimization of a supersonic wing for supersonic civil transportation (SST) using an Evolutionary Algorithm (EA) coupled with an Euler/Navier-Stokes code. To overcome enormous computational time necessary for the design, aerodynamic evaluations are parallelized on Numerical Wind Tunnel (NWT) at National Aerospace Laboratory, a parallel vector machine with 1...

We consider the problem of energy-efficient transmission in cooperative multihop wireless networks. Although the performance gains of cooperative approaches are well known, the combinatorial nature of these schemes makes it difficult to design efficient polynomial-time algorithms for deciding which nodes should take part in cooperation, and when and with what power they should transmit. In this...

Preface In the past nine months, I carried out my the final year project of KTH international master's in SoC (System-on-Chip) at NXP Semiconductors Research (NXP), the Netherlands. Thanks to my supervisors, Prof. Axel Jantsch in KTH and Senior Scientist Tomas Henriksson in NXP. Also thanks to Pieter van der Wolf and Bram Riemens in NXP. During my internship they gave me a lot of help on the te...

S20 S ince the first successful surgery in 1941 (1), the survival of patients with esophageal atresia (EA) has improved greatly. Consequently, the follow-up of these patients has revealed gastrointestinal (GI) complications unrecognized 60 years ago, such as gastroesophageal reflux and esophagitis with their related consequences. Among these complications, 1 of the major concerns in long-term G...

I n this chapter we discuss the notion of Evolutionary Algorithm (EA) parameters and propose a distinction between EAs and EA instances, based on the type of parameters used to specify their details. Furthermore, we consider the most important aspects of the parameter tuning problem and give an overview of existing parameter tuning methods. Finally, we elaborate on the methodological issues inv...