All Outputs (4)

An Animation System for Fracturing of Rigid Objects (2005)
Book Chapter
Kucukyilmaz, A., & Ozguc, B. (2005). An Animation System for Fracturing of Rigid Objects. In Computer and Information Sciences - ISCIS 2005: 20th International Symposium, Istanbul, Turkey, October 26-28, 2005. Proceedings, (688--697). Springer Berlin Heidelberg. https://doi.org/10.1007/11569596_71

This paper describes a system for the animation of fracturing brittle objects. The system combines rigid body simulation methods with a constraint-based model to animate fracturing of arbitrary polyhedral shaped objects under impact. The objects are... Read More about An Animation System for Fracturing of Rigid Objects.

Multi-objective hyper-heuristic approaches for space allocation and timetabling (2005)
Book Chapter
Burke, E. K., Landa Silva, D. J., & Soubeiga, E. (2005). Multi-objective hyper-heuristic approaches for space allocation and timetabling. In Meta-heuristics: Progress as Real Problem Solvers, (129-158). Springer Verlag. https://doi.org/10.1007/0-387-25383-1_6

An important issue in multi-objective optimisation is how to ensure that the obtained non-dominated set covers the Pareto front as widely as possible. A number of techniques (e.g. weight vectors, niching, clustering, cellular structures, etc.) have b... Read More about Multi-objective hyper-heuristic approaches for space allocation and timetabling.

Artificial immune systems (2005)
Book Chapter
Aickelin, U., & Dasgupta, D. (2005). Artificial immune systems. In E. K. Burke, & G. Kendall (Eds.), Search Methodologies : Introductory Tutorials in Optimisation, Decision Support Techniques. Springer. https://doi.org/10.1007/0-387-28356-0

The biological immune system is a robust, complex, adaptive system that defends the body from foreign pathogens. It is able to categorize all cells (or molecules) within the body as self-cells or non-self cells. It does this with the help of a distri... Read More about Artificial immune systems.

Hybrid Graph Heuristics within a Hyper-heuristic Approach to Exam Timetabling Problems (2005)
Book Chapter
Burke, E., Dror, M., Petrovic, S., & Qu, R. (2005). Hybrid Graph Heuristics within a Hyper-heuristic Approach to Exam Timetabling Problems. In B. Golden, S. Raghavan, & E. Wasil (Eds.), The Next Wave in Computing, Optimization, and Decision Technologies. Springer

This paper is concerned with the hybridization of two graph coloring heuristics (Saturation Degree and Largest Degree), and their application within a hyperheuristic for exam timetabling problems. Hyper-heuristics can be seen as algorithms which inte... Read More about Hybrid Graph Heuristics within a Hyper-heuristic Approach to Exam Timetabling Problems.