Essentials of Metaheuristics

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@Book{Luke2009Metaheuristics,
  author =       "Sean Luke",
  title =        "Essentials of Metaheuristics",
  year =         "2009",
  publisher =    "lulu.com",
  edition =      "First",
  note =         "Available at
                 http://cs.gmu.edu/$\sim$sean/books/metaheuristics/",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-0-557-14859-2",
  URL =          "http://cs.gmu.edu/~sean/book/metaheuristics/",
  URL =          "http://www.lulu.com/shop/sean-luke/essentials-of-metaheuristics-second-edition/paperback/product-21080150.html",
  abstract =     "Gradient Ascent/Descent, Newton's Method,
                 Hill-Climbing, Random Search, Hill Climbing with Random
                 Restarts, Steepest Ascent Hill-Climbing (with and
                 without Replacement), (1+1), (1+lambda), and (1,
                 lambda), Simulated Annealing, Tabu Search, Iterated
                 Local Search, Evolution Strategies and Evolutionary
                 Programming, The Genetic Algorithm, Elitism, Steady
                 State GAs, The Tree-Style GP Pipeline, Hybrid
                 Evolutionary and Hill-Climbing ({"}Memetic{"})
                 Algorithms, Scatter Search, Differential Evolution,
                 Particle Swarm Optimization, Island Models,
                 Master-Slave Fitness Assessment, Spatially-Embedded
                 Models, 1-Population, 2-Population, and N-Population
                 Coevolution Methods, Explicit and Implicit Fitness
                 Sharing, Crowding and Deterministic Crowding, Naieve
                 Multiobjective Optimization, Non-Dominated Sorting
                 (NSGA-II), Pareto Strength Methods (SPEA2),
                 Optimization with Hard Constraints, GRASP, Ant Colony
                 Optimization (AS, ACS), Guided Local Search, Model
                 Fitting by Classification (LEM), Estimation of
                 Distribution Algorithms (PBIL, UMDA, cGA, BOA), Policy
                 Optimization (Q-Learning, SAMUEL, ZCS, XCS),
                 Representation Issues:, Vectors, Direct Encoded Graphs,
                 Trees, Genetic Programming, Strongly-Typed Genetic
                 Programming, Cellular Encoding, Lists, Machine-code
                 Genetic Programming, Grammatical Evolution, Rulesets:
                 State-Action Rules, Production Rules, Bloat,
                 Experimental Methodolgy, Sample Text Problems,
                 Resources, Example Course Syllabi",
  notes =        "Published by Lulu 14 Dec 2010, Reviewed by
                 \cite{Lones:2011:GPEM}",
  size =         "230 pages.

                 Second edition, http://tinyurl.com/essentialslulu ISBN
                 9781300549628, 242 pages, 21 June 2013

                 Oct 2015 Essentials.pdf contains version 2.2",
}

Genetic Programming entries for Sean Luke

Citations