learning methods‚ and etc. In this project‚ genetic algorithm will be used to solve this problem by using GAlib package. Genetic Algorithms are adaptive methods which may be used to solve search and optimization problems. They are based on the genetic processes of biological organisms. Over many generations‚ natural populations evolve according to the principles of natural selection and "survival of the fittest". By mimicking this process‚ genetic algorithms are able to "evolve" solutions to real world
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Pencil Beam and Collapsed Cone Algorithm Calculations for a Lung-type Volume Using CT and the OMP Treatment Planning System Methods Measurements have been carried out in both phantom and a specifically designed phantom which simulated human lung volume. Samples were taken from the Lung Planning CT images for 15 patients using the Oncentra Masterplan OMP Treatment Planning System. The X-axis was‚ following convention‚ taken to be horizontal‚ and the Y-axis to be vertical; accordingly‚ abscissa
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Asymptotic Functions: Big-O notation: The formal method of expressing the upper bound of an algorithm’s running time (worst case) Big-Omega notation: The formal method of expressing the lower bound of an algorithm’s running time (best case) Theta Notation: The method of expressing that a given function is bounded from both top to bottom by the same function This exists if and only if f(n) is O(g(n)) and f(n) is Ω(g(n)) Little-O notation:
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Evolutionary Heterosexual Mating Strategies: Long-term v. Short-term By: Morgan Henry Nowhere do people have an equal desire for all members of the opposite sex. Evolutionarily speaking‚ it would be in one’s best interest to be selective when choosing a mate. Imagine living as our ancestors did long ago: hunting meat for their kin‚ gathering nuts‚ berries‚ and herbs‚ and having to stay warm by a fire. If we selected a mate who was lazy‚ did not provide resources‚ had affairs‚ lacked hunting skills
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Recommended Systems using Collaborative Filtering and Classification Algorithms in Data Mining Dhwani Shah 2008A7PS097G Mentor – Mrs. Shubhangi Gawali BITSC331 2011 1 BITS – Pilani‚ K.K Birla Goa INDEX S. No. 1. 2. 3. 4. 5. 6. 7. 8. 9. Topic Introduction to Recommended Systems Problem Statement Apriori Algorithm Pseudo Code Apriori algorithm Example Classification Classification Techniques k-NN algorithm Determine a good value of k References Page No. 3 5 5 7 14 16 19 24 26 2
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International Data Encryption Algorithm CS-627-1 Fall 2004 By How-Shen Chang Table of Contents: Introduction 2 Description of IDEA 3 Key Generation 3 Encryption 4 Decryption 6 Modes of operation 6 Weak keys for IDEA 6 Implementation 7 Applications 8 Conclusion 9 Introduction The Data Encryption Standard (DES) algorithm has been a popular secret key encryption algorithm and is used in many commercial and financial applications. Although introduced in 1976‚ it
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Why humans murder other humans is a question of insightful concern and practical importance‚ one that needs a successful scientific explanation. Evolutionary theory has explanations of why murder occurs‚ the circumstances in which it occurs‚ and the psychological mechanisms dedicated to murder. Murder is unlawful killing of another human being. As William Blackstone stated the common law definition of murder is ‘when a person‚ of sound memory and discretion‚ unlawfully killeth any reasonable creature
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Enhancement of Bee colony algorithm using 2-opt technique for constructing optimal path Bindia Sonika Jaspreet Kaur Sahiwal Dept. of CSE‚ Lovely Professional University Dept. of CSE‚ Lovely Professional University Dept. of CSE‚ Lovely Professional University Phagwara‚ India Phagwara‚ India
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Ashley Andino October 2‚ 2014 Evolutionary Relationships in Mammals For this scientific argument‚ the research question was Which of these mammals are the most closely related? At first‚ my claim had stated “The mammals with more similar traights and characteristics were the ones that were the most closely related.” As my group and I looked deeper into the data‚ we had analyzed the different mammals and ended up with a final claim which was “The elk‚ cow‚ Caribou‚ the Pallid bat‚ and big eared
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regression seeks to optimise the parameters for a pre-specified model structure‚ with symbolic regression‚ the model structure and parameters are determined simultaneously. Similarly‚ the evolution of control algorithms‚ scheduling programs‚ structural design and signal processing algorithms can be viewed as structural optimisation problems suitable for GP. Abstract The aim of this paper is to provide an introduction to the rapidly developing field of genetic programming (GP). Particular emphasis
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