Pattern Recognition, Medical Imaging, Machine Intelligence, Computer Vision

Hamid R. Tizhoosh
Faculty of Engineering
University of Waterloo

Pattern Recognition, Computer Vision,
Medical Imaging, Machine Intelligence

Hamid R. Tizhoosh

Computer Vision

Machine Intelligence

Data Structures

Pattern Recoginition

Computer Vision

Machine Intelligence

Terahertz Imaging

Health Engineering

Opposition-Based Learning

Current Students

Former Students

Prostate Cancer

Radiation Therapy

Books & Chapters

University of Waterloo :: Faculty of Engineering :: Systems Design

Research …
Genetic Algorithms

Genetic algorithms (GAs) are stochastic search techniques inspired from the natural selection in the evolution process. Parameters of an algorithm or system can be regarded as chromosomes of individuals in a population of solutions. The fitter solution will be reproduced. GAs can provide solutions for highly complex search spaces.

Genetic Algorithms

Fields & Methodologies

Canonical GAs
Island Models
Parallel GAs
GAs with Fuzzy Fitness
Opposition-Based GAs

Applications

Image Task Optimization

Related Links

Opposition-Based Learning

» Affiliations

Potentials

"Genetic algorithms make it possible to explore a far greater range of potential solutions to a problem than do conventional programs. Furthermore, as researchers probe the natural selection of programs under controlled an well-understood conditions, the practical results they achieve may yield some insight into the details of how life and intelligence evolve in the natural world."

John H. Holland

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