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GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
15 years 6 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
GECCO
2006
Springer
218views Optimization» more  GECCO 2006»
15 years 6 months ago
A survey of mutation techniques in genetic programming
The importance of mutation varies across evolutionary computation domains including: genetic programming, evolution strategies, and genetic algorithms. In the genetic programming ...
Alan Piszcz, Terence Soule
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
15 years 6 months ago
Adaptation for parallel memetic algorithm based on population entropy
In this paper, we propose the island model parallel memetic algorithm with diversity-based dynamic adaptive strategy (PMADLS) for controlling the local search frequency and demons...
Jing Tang, Meng-Hiot Lim, Yew-Soon Ong
ITS
2000
Springer
120views Multimedia» more  ITS 2000»
15 years 6 months ago
TEATRIX: Virtual Environment for Story Creation
This paper describes TEATRIX; a learning environment designed to help children, and their teachers, in the whole process of collaborative story creation. TEATRIX provides an enviro...
Rui Prada, Isabel Machado, Ana Paiva
ITS
2000
Springer
137views Multimedia» more  ITS 2000»
15 years 6 months ago
Design Principles for a System to Teach Problem Solving by Modelling
This paper presents an approach to the design of a learning environment in a mathematical domain (elementary combinatorics) where problem solving is based more on modelling than o...
Gérard Tisseau, Hélène Giroir...
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