Clever Algorithms : Nature-Inspired Programming Recipes

Clever Algorithms -Nature-Inspired Programming Recipes

TOC
I Background
1 Introduction

2 Stochastic Algorithms
2.1 Overview
2.2 Random Search
2.3 Adaptive Random Search
2.4 Stochastic Hill Climbing
2.5 Iterated Local Search
2.6 Guided Local Search
2.7 Variable Neighborhood Search
2.8 Greedy Randomized Adaptive Search
2.9 Scatter Search
2.10 Tabu Search
2.11 Reactive Tabu Search

3 Evolutionary Algorithms
3.2 Genetic Algorithm
3.3 Genetic Programming
3.4 Evolution Strategies
3.5 Differential Evolution
3.6 Evolutionary Programming
3.7 Grammatical Evolution
3.8 Gene Expression Programming
3.9 Learning Classifier System
3.10 Non-dominated Sorting Genetic Algorithm
3.11 Strength Pareto Evolutionary Algorithm

4 Physical Algorithms
4.1 Overview
4.2 Simulated Annealing
4.3 Extremal Optimization
4.4 Harmony Search
4.5 Cultural Algorithm
4.6 Memetic Algorithm

5 Probabilistic Algorithms
5.2 Population-Based Incremental Learning
5.3 Univariate Marginal Distribution Algorithm
5.4 Compact Genetic Algorithm
5.5 Bayesian Optimization Algorithm
5.6 Cross-Entropy Method

6 Swarm Algorithms
6.2 Particle Swarm Optimization
6.3 Ant System
6.4 Ant Colony System
6.5 Bees Algorithm
6.6 Bacterial Foraging Optimization Algorithm

7 Immune Algorithms
7.2 Clonal Selection Algorithm
7.3 Negative Selection Algorithm
7.4 Artificial Immune Recognition System
7.5 Immune Network Algorithm
7.6 Dendritic Cell Algorithm

8 Neural Algorithms
8.2 Perceptron
8.3 Back-propagation
8.4 Hopfield Network
8.5 Learning Vector Quantization
8.6 Self-Organizing Map

III Extensions
9 Advanced Topics
9.1 Programming Paradigms
9.2 Devising New Algorithms
9.3 Testing Algorithms
9.4 Visualizing Algorithms
9.5 Problem Solving Strategies
9.6 Benchmarking Algorithms

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Data Structures & Algorithms in Java - Mitchell Waite, Robert Lafore

 

Data Structures & Algorithms in Java - Mitchell Waite, Robert Lafore

While most books on algorithms and data structures use C or C++ for their examples, Data Structures and Algorithms in Java introduces data structures, sorting, and related algorithms using the Java programming language. This worthy reference helps working programmers get the most out of using Java to store and manipulate data efficiently.The book starts out with simple data structures, such as Java Arrays, and looks at a variety of traditional sorting algorithms, such as the quick sort and the bubble sort. Along the way, the author uses clear-cut examples in Java that show the ordering of elements visually in applets. (All source code is included in the accompanying CD-ROM.) The book then looks at linked lists (which can be efficient in Java because references point to objects in memory the way C++ pointers do).

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