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EMO
2001
Springer
107views Optimization» more  EMO 2001»
14 years 1 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
GECCO
2010
Springer
206views Optimization» more  GECCO 2010»
14 years 14 days ago
Development of efficient particle swarm optimizers by using concepts from evolutionary algorithms
Particle swarm optimization (PSO) has been in practice for more than 10 years now and has gained wide popularity in various optimization tasks. In the context to single objective ...
Kalyanmoy Deb, Nikhil Padhye
CEC
2007
IEEE
14 years 3 months ago
Light beam search based multi-objective optimization using evolutionary algorithms
Abstract— For the past decade or so, evolutionary multiobjective optimization (EMO) methodologies have earned wide popularity for solving complex practical optimization problems,...
Kalyanmoy Deb, Abhay Kumar
ISCC
2007
IEEE
100views Communications» more  ISCC 2007»
14 years 3 months ago
A Caching Algorithm using Evolutionary Game Theory in a File-Sharing System
In a P2P file-sharing system, a node finds and retrieves its desired file. If multiple nodes cache the same file to provide others, we can achieve a file-sharing system with ...
Masahiro Sasabe, Naoki Wakamiya, Masayuki Murata
ISCAS
2005
IEEE
179views Hardware» more  ISCAS 2005»
14 years 2 months ago
Robust stabilization of control systems using piecewise linear Lyapunov functions and evolutionary algorithm
— Piecewise linear Lyapunov functions are used to design control gain matrices so that closed systems are robust stable and attractive regions are expanded as large as possible i...
K. Tagawa, Y. Ohta