Clever Algorithms est une livre traitant des algorithmes basés sur la nature. Le PDF est gratuit mais si vous voulez le livre (aussi en anglais) pour 15€ environ.
Un petit aperçu de la table des matières (US) :
- Stochastic Algorithms: Random Search, Adaptive Random Search, Stochastic Hill Climbing, Iterated Local Search, Guided Local Search, Variable Neighborhood Search, Greedy Randomized Adaptive Search, Scatter Search, Tabu Search, Reactive Tabu Search.
- Evolutionary Algorithms: Genetic Algorithm, Genetic Programming, Evolution Strategies, Differential Evolution, Evolutionary Programming, Grammatical Evolution, Gene Expression Programming, Learning Classifier System, Non-dominated Sorting Genetic Algorithm, Strength Pareto Evolutionary Algorithm.
- Physical Algorithms: Simulated Annealing, Extremal Optimization, Harmony Search, Cultural Algorithm, Memetic Algorithm.
- Probabilistic Algorithms: Population-Based Incremental Learning, Univariate Marginal Distribution Algorithm, Compact Genetic Algorithm, Bayesian Optimization Algorithm, Cross-Entropy Method.
- Swarm Algorithms: Particle Swarm Optimization, Ant System, Ant Colony System, Bees Algorithm, Bacterial Foraging Optimization Algorithm.
- Immune Algorithms: Clonal Selection Algorithm, Negative Selection Algorithm, Artificial Immune Recognition System, Immune Network Algorithm, Dendritic Cell Algorithm.
- Neural Algorithms: Perceptron, Back-Propagation, Hopfield Network, Learning Vector Quantization, Self-Organizing Map.
http://www.zakstudio.com/2011/09/04/beat-it-version-chinoise/



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Très intéressant comme lecture, mais d’un niveau quand même sacrément élevé !
C’est vrai, j’ai pas tout bien compris, même si ça reste des algos.