Computational intelligence PC tools
Computational intelligence PC tools
Local Search Algorithms for SAT: An Empirical Evaluation
Journal of Automated Reasoning
Parameter Selection in Particle Swarm Optimization
EP '98 Proceedings of the 7th International Conference on Evolutionary Programming VII
Multi-objective Optimisation of Cancer Chemotherapy Using Evolutionary Algorithms
EMO '01 Proceedings of the First International Conference on Evolutionary Multi-Criterion Optimization
The particle swarm optimization algorithm: convergence analysis and parameter selection
Information Processing Letters
Nonlinear inertia weight variation for dynamic adaptation in particle swarm optimization
Computers and Operations Research
A modified particle swarm optimizer using an adaptive dynamic weight scheme
ICDHM'07 Proceedings of the 1st international conference on Digital human modeling
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Cancer combinational chemotherapy is a complex treatment process that requires balancing the administration of anti-cancer drug to reduce tumor size with the adverse toxic side effects caused by these drugs. Methods of computational optimization like Genetic Algorithm (GA) and Canonical Particle Swarm Optimization (CPSO) have been used to strike the right balance. The purpose of this paper is to study how an alternative optimization technique - Modified Particle Swarm Optimizer (MPSO) - can be used for finding optimal chemotherapeutic treatments in an efficient manner. Comparison of its performance with the other existing algorithms of MPSO has been shown.