Evolutionary Algorithms Software
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1 Evolutionary Algorithms Software Prof. Dr. Rudolf Kruse Pascal Held Otto-von-Guericke-Universität Magdeburg Fakultät für Informatik Institut für Wissens- und Sprachverarbeitung Prof. R. Kruse, P. Held EA Software / 25
2 Outline 1. Evolving Objects: Evolutionary Computation Framework 2. JGap: Java Genetic Algorithms Package 3. ECJ - Evolutionary Computation Java 4. EASEA 5. EvA2 Prof. R. Kruse, P. Held EA Software 24. Juni 2013
3 Überblick [Keijzer et al., 2002] Template-based C++ - Library very large kit of modules for EAs unrestricted combination of modules easy to expand Prof. R. Kruse, P. Held EA Software / 25
4 Overview [Keijzer et al., 2002] Prof. R. Kruse, P. Held EA Software / 25
5 Representation of individuals Many predefined representations of individuals: binary-strings permutations vectors lists... Moreover, very easy to adapt on user-defined data structures Prof. R. Kruse, P. Held EA Software / 25
6 Paradigms to develop Referring to the lecture, there are many paradigms implemented: Evolutionary Strategies Genetic Algorithms Particle Swarm Optimization... Prof. R. Kruse, P. Held EA Software / 25
7 Methods on selection Implemented methods for selection: Rank based deterministic or stochastic Tournaments Roulette Elitism... Prof. R. Kruse, P. Held EA Software / 25
8 Genetic Operators Ready-to-use Operators: Uniform Initializer (0 n) Gaussian Mutation (1 1) Subtree-Crossover (2 2)... arbitrary n m operators realizable Prof. R. Kruse, P. Held EA Software / 25
9 Summary very fast and flexible library can be easily adapted to user demands 2001 first publication, since then continious development Plattform-independent Prof. R. Kruse, P. Held EA Software / 25
10 Outline 1. Evolving Objects: Evolutionary Computation Framework 2. JGap: Java Genetic Algorithms Package 3. ECJ - Evolutionary Computation Java 4. EASEA 5. EvA2 Prof. R. Kruse, P. Held EA Software 24. Juni 2013
11 JGap Java Genetic Algorithms Package [Meffert, ] Java-library for genetic algorithms and genetic programming some predefined operators many examples Tutorials and JavaDoc Prof. R. Kruse, P. Held EA Software / 25
12 Scientific background JGap is heavily used in universary/scientific context Dissertations Diploma thesis Conference paper... Prof. R. Kruse, P. Held EA Software / 25
13 Genetic Programming specialisation on genetic programming creates Java-class based on JUnit-Tests RobocodeJGAP: GP-Projectwithfocusinrobotprogramming Prof. R. Kruse, P. Held EA Software / 25
14 Summary Java-library with scientific background many examples Demo: Monalisa-Painting-App (tries to paint the Mona Lisa with simple triangles) Prof. R. Kruse, P. Held EA Software / 25
15 Outline 1. Evolving Objects: Evolutionary Computation Framework 2. JGap: Java Genetic Algorithms Package 3. ECJ - Evolutionary Computation Java 4. EASEA 5. EvA2 Prof. R. Kruse, P. Held EA Software 24. Juni 2013
16 AJava-basedEvolutionaryComputation Research System Java-based Framework for evolutionary algorithms and genetic programming many predefined functions and operators specialization on genetic programming written in Java - plattform independent Prof. R. Kruse, P. Held EA Software / 25
17 Features embedded GUI (unfortunately not easy to use) Hierarchical parameter files where important configurations of the EA can be made Multithreading distribution of computations over several computing machines (with exchange of individuals via Island Model) Prof. R. Kruse, P. Held EA Software / 25
18 Paradigms Genetic Algorithms Genetic Programming Evolutionary strategies (µ, λ) und (µ + λ) Differential Evolution Particle Swarm Optimization Prof. R. Kruse, P. Held EA Software / 25
19 Operators Große Auswahl an: Initializing factors Selection methods (with or without elitism) preimplemented mutation and crossover operators Prof. R. Kruse, P. Held EA Software / 25
20 Genetic Programming Preference on genetic programming primarily tree representation but predefined grammar can be used, too rather functional programs (Composition of mathematical functions) than linear programs (Scripts, Loops, Branch operations) can handle strong typed functions butalsoautomaticaldefined functions and macros Prof. R. Kruse, P. Held EA Software / 25
21 Summary very powerful and popular framework Java-Base huge community Further links to other frameworks on the website. Prof. R. Kruse, P. Held EA Software / 25
22 Outline 1. Evolving Objects: Evolutionary Computation Framework 2. JGap: Java Genetic Algorithms Package 3. ECJ - Evolutionary Computation Java 4. EASEA 5. EvA2 Prof. R. Kruse, P. Held EA Software 24. Juni 2013
23 EASEA - EAsy Specification of Evolutionary Algorithms Plattform for Evolutionary Algorithms Evolutionary algorithm can be defined in a special language special compiler transfers EA in a set of C++ files special optimizations for Multicore-, Distributed systems and computations on graphic cards/accelerators Prof. R. Kruse, P. Held EA Software / 25
24 EASEA Prof. R. Kruse, P. Held EA Software / 25
25 EASEA many elements of the EA are already implemented user-defined adaptations and operators can be realized easily compiled C++ files can be embedded in a larger, user project many parameter of the EA can be set easily via several configuration files Prof. R. Kruse, P. Held EA Software / 25
26 Outline 1. Evolving Objects: Evolutionary Computation Framework 2. JGap: Java Genetic Algorithms Package 3. ECJ - Evolutionary Computation Java 4. EASEA 5. EvA2 Prof. R. Kruse, P. Held EA Software 24. Juni 2013
27 EvA2 Java-based framework for Evolutionary Algorithms GUI to specify all the parameters of the EA own classes can be load into GUI (development via special API) many opportunities to evaluate and compare between different algorithms developped in university context (Uni Tübingen), strong application in scientific context (usage in at least 40 publications) Prof. R. Kruse, P. Held EA Software / 25
28 EASEA Prof. R. Kruse, P. Held EA Software / 25
29 Paradigms (Multi Start) Hill Climbing, Simulated Annealing Evolutionary strategies Genetic Algorithms Differential Evolution Particle Swarm Optimization Nieche-based approachs... Prof. R. Kruse, P. Held EA Software / 25
30 Application - Examples university context, teaching Daimler AG: automaticaltransmissionoptimizations The Bosch Group: OptimizationsofJob-Shop-Scheduling problems further companies Systems Biology Toolbox for MATLAB JCell (Intra-cellular process simulation) Prof. R. Kruse, P. Held EA Software / 25
31 Summary Java Framework with own GUI widely used in university context supports analysis snd experiments of different algorithms Prof. R. Kruse, P. Held EA Software / 25
32 Further reading I Keijzer, M., Merelo, J. J., Romero, G., and Schoenauer, M. (2002). Evolving objects: A general purpose evolutionary computation library. Artificial Evolution, 2310: Meffert, K. Jgap - java genetic algorithms and genetic programming package. Prof. R. Kruse, P. Held EA Software
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