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PPSN
2004
Springer
13 years 10 months ago
Optimising Cancer Chemotherapy Using Particle Swarm Optimisation and Genetic Algorithms
Cancer chemotherapy is a complex treatment mode that requires balancing the benefits of treating tumours using anti-cancer drugs with the adverse toxic side-effects caused by these...
Andrei Petrovski, Bhavani Sudha, John A. W. McCall
GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
13 years 8 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...
EMO
2001
Springer
107views Optimization» more  EMO 2001»
13 years 9 months ago
Multi-objective Optimisation of Cancer Chemotherapy Using Evolutionary Algorithms
The main objectives of cancer treatment in general, and of cancer chemotherapy in particular, are to eradicate the tumour and to prolong the patient survival time. Traditionally, t...
Andrei Petrovski, John A. W. McCall
CEC
2009
IEEE
13 years 2 months ago
Optimisation of the Beer Distribution Game with complex customer demand patterns
This paper examines a simulation of the Beer Distribution Game and a number of optimisation approaches to this game. This well known game was developed at MIT in the 1960s and has ...
Hongliang Liu, Enda Howley, Jim Duggan
EVOW
2008
Springer
13 years 6 months ago
An Evolutionary Game-Theoretical Approach to Particle Swarm Optimisation
Abstract. This work merges ideas from two very different areas: Particle Swarm Optimisation and Evolutionary Game Theory. In particular, we are looking to integrate strategies from...
Cecilia Di Chio, Paolo Di Chio, Mario Giacobini