Optimization of interplanetary trajectories with deep space maneuvers - Model development and application to a Uranus orbiter mission

Phoenix – Non-cooperative bargaining agents deploying computationally bounded optimization strategies.

The project addresses cost savings and productivity improvement by pooling of resources between independent companies through multi-agent, bargaining-based decision methods. Cost savings are realized by optimizing plans across companies, while the pooling decision and the benefit distribution is done by bargaining. Applications with these...

Study on optimal Trajectories and Energy Management Capabilities of a Winged Re-Entry Vehicle during the Terminal Area

The unpowered entry of a winged re-entry vehicle, such as the HORUS-2B, consists of a hypersonic atmospheric re-entry phase, a Terminal Area Energy Management (TAEM) phase and a approach and landing phase. The TAEM is the subject of this thesis study. During the TAEM, the vehicle is brought to the correct interface position with the landing...

Evolutionary Optimization of Kernel Weights Improves Protein Complex Comembership Prediction

In recent years, more and more high-throughput data sources useful for protein complex prediction have become available (e.g., gene sequence, mRNA expression, and interactions). The integration of these different data sources can be challenging. Recently, it has been recognized that kernel-based classifiers are well suited for this task. However...

Evaluating Software Security Aspects through Fuzzing and Genetic Algorithms

Improve software security evaluation by combining fuzzing and genetic algorithms.

Progressive design methodology for complex engineering systems based on multiobjective genetic algorithms and linguistic decision making

This work focuses on a design methodology that aids in design and development of complex engineering systems. This design methodology consists of simulation, optimization and decision making. Within this work a framework is presented in which modelling, multi-objective optimization and multi criteria decision making techniques are used to design...

Multilevel design optimization of composite structures with blended laminates

This research work deals with the design and optimization of a large composite structure. In design of large structural systems, it is customary to divide the problem into many smaller independent/semi-independent local design problems. The use of composite necessitates the inclusion of ply angles as design variables. These design variables are...

Improved genetic algorithm inspired by biological evolution

Optimization of Blended Wing Body Aircraft by Automatic CFD Driven Design Tool

Blended Wing Body (BWB) Aircraft has aroused a considerable interest as a potential candidate for future large subsonic transport air-vehicles. In this paper, we present the results of one and multi-point multi-constrained optimization of a BWB configuration for minimum total drag. The optimization technique is based on Genetic Algorithms and is...

Topology Optimization using a Topology Description Function Approach

During the last two decades, computational structural optimization methods have emerged, as computational power increased tremendously. Designers now have topological optimization routines at their disposal. These routines are able to generate the entire geometry of structures, provided only with information on loads, supports, and space to work...

Theoretical and operational aspects of optimal airport arrival trajectories

The thesis considers the trajectories that are used to guide aircraft from en-route flight to an airport. Although there is currently some room to adapt the trajectories to a specific situation, they are usually largely based on published standardised trajectories. In this study the potential of optimising the arrival trajectories using data...

Estimation of Coefficients of the Equation of Nonlinear Roll Motion for Fishing Boats by Improved Energy Method and Genetic Algorithm

Soft Computing in Construction Information Technology

The last decade, civil engineering has exercised a rapidly growing interest in the application of neurally inspired computing techniques. The motive for this interest was the promises of certain information processing characteristics, which are similar to some extend, to those of human brain. The immediate examples of these include an ability to...

Multidisciplinary design optimization of a second-generation supersonic transport aircraft using a hybrid genetic/gradient-guided algorithm.

Application of genetic algorithms to the design of airfoil pressure distributions

NLR participates in the ECARF (European Computation Aerodynamics Research Project) "Optimum Design" project, developing an algorithm for multi-point airfoil design. Within the ECARP project a test case has been defined for two-point design with the aid of well-specified target pressure distributions. It appears that optimization of pressure...

Automatic generation of a section erection planning for European shipyards building complex ships