NDLI: Introduction to genetic programming ( GECCO '09 )

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Evaluating evolution and monte carlo for controlling air traffic flow

Evolving human-competitive reusable 2D strip packing heuristics

Mutation and crossover with abstract expression grammars

Noiseless functions black-box optimization: evaluation of a hybrid particle swarm with differential operators

Evaluating the cell broadband engine as a platform to run estimation of distribution algorithms

Classifying SSH encrypted traffic with minimum packet header features using genetic programming

Self-organizing economic activity with costly information

Coevolution of pattern generators and recognizers

Reinforcement learning for games: failures and successes

A genetic algorithm for learning significant phrase patterns in radiology reports

Preserving population diversity for the multi-objective vehicle routing problem with time windows

Evolving universal hash functions using genetic algorithms

Introduction to genetic algorithms

A new multi-objective algorithm, pareto archived DDS

A multi-level search framework for asynchronous cooperation of multiple hyper-heuristics

Multiobjective genetic programming approach for a smooth modeling of the release kinetics of a pheromone dispenser

BBOB: Nelder-Mead with resize and halfruns

Evolving soft robotic locomotion in PhysX

Improved multiresolution analysis transforms for satellite image compression and reconstruction using evolution strategies

Asynchronous collaborative search using adaptive co-evolving subpopulations

On the appropriateness of evolutionary rule learning algorithms for malware detection

On the limitations of adaptive resampling in using the student's t-test evolution strategies

A hybrid GA-based fuzzy classifying approach to urinary analysis modeling

Some techniques to deal with many-objective problems

Minimizing total completion time in two-machine flow shops with exact delay using genetic algorithm & ant colony algorithm

Introduction to genetic programming

Optimization of morphological data in numerical taxonomy analysis using genetic algorithms feature selection method

Using performance fronts for parameter setting of stochastic metaheuristics

AMaLGaM IDEAs in noiseless black-box optimization benchmarking

Parallel latent semantic analysis using a graphics processing unit

String- and permutation-coded genetic algorithms for the static weapon-target assignment problem

Comparison of sorting algorithms for multi-fitness measurement of cooperative coevolution

Performance evaluation of evolutionary algorithms in classification of biomedical datasets

Lessons learned in evolutionary computation: 11 steps to success

A PSO/ACO approach to knowledge discovery in a pharmacovigilance context

Improving NSGA-II with an adaptive mutation operator

Rapid prototyping using evolutionary approaches: part 2

A unified approach to Evolutionary Computation

A comparison of selection, recombination, and mutation parameter importance over a set of fifteen optimization tasks

A greedy hyper-heuristic in dynamic environments

A memetic algorithm using local search chaining forblack-box optimization benchmarking 2009 for noise free functions

A fast high quality pseudo random number generator for nVidia CUDA

Military network security using self organized multi-agent entangled hierarchies

Self organized multi-agent entangled hierarchies for network security

An XCS approach to forecasting financial time series

A series of failed and partially successful fitness functions for evolving spiking neural networks

Application of quantum genetic algorithm on breast tumor imaging with microwave

Solving the eltrut problem with hybrid evolutionary algorithms

Relative fitness scaling for improving efficiency of proportionate selection in genetic algorithms

Ant colony optimization

Lessons learned in application of evolutionary computation to a set of optimization tasks

Towards the decathlon challenge of search heuristics

Black-box optimization benchmarking for noiseless function testbed using an EDA and PSO hybrid

Parallel multi-objective evolutionary algorithms on graphics processing units

The game of funding: modelling peer review for research grants

Evolved cooperation and emergent communication structures in learning classifier based organic computing systems

An exploration of learning and grammars in grammatical evolution

Evolving stylized images using a user-interactive genetic algorithm

Learning classifier systems

Toward a universal operator encoding for genetic programming

Learning and using hyper-heuristics for variable and value ordering in constraint satisfaction problems

Black-box optimization benchmarking for noiseless function testbed using particle swarm optimization

Solving quadratic assignment problems by genetic algorithms with GPU computation: a case study

Gene network inference using a swarm intelligence framework

Probabilistic model-building genetic algorithms

Exploring an evolutionary medical analytic wallet

Extreme: dynamic multi-armed bandits for adaptive operator selection

Black-box optimization benchmarking for noiseless function testbed using PSO_bounds

Deployment of CPU and GPU-based genetic programming on heterogeneous devices

Multi-colony ant colony optimization for the node placement problem

Grammatical evolution

PEPPA: a project for evolutionary predator prey algorithms

On benchmark properties for adaptive operator selection

Black-box optimization benchmarking: results for the BayEDAcG algorithm on the noiseless function testbed

Learnable evolution model performance impaired by binary tournament survival selection

Statistical analysis for evolutionary computation: introduction

Multiobjective optimization of technical market indicators

A continuous variable neighbourhood search based on specialised EAs: application to the noiseless BBO-benchmark 2009

Combined effect of the direction of information transmission and the spatiality over sustaining cooperation

Evolving neural networks

The degree of dynamism for workforce scheduling problem with stochastic task duration

A stigmergy-based algorithm for black-box optimization: noiseless function testbed

Rapid prototyping using evolutionary approaches: part 1

Genetic programming theory I & II

Learning in the time-dependent minority game

Black-box optimization benchmarking of prototype optimization with evolved improvement steps for noiseless function testbed

No free lunch: 1995-2008

A concurrent evolutionary approach for rich combinatorial optimization

BBOB-benchmarking a simple estimation of distribution algorithm with cauchy distribution

Constraint-handling techniques used with evolutionary algorithms

Efficient trade execution using a genetic algorithm in an order book based artificial stock market

BBOB-benchmarking the DIRECT global optimization algorithm

Statistical analysis for evolutionary computation: advanced techniques

Improving SMT performance: an application of genetic algorithms to configure resizable caches

BBOB-benchmarking the generalized generation gap model with parent centric crossover

Representations for evolutionary algorithms

Grisland: a parallel genetic algorithm for finding near optimal solutions to the traveling salesman problem

BBOB-benchmarking two variants of the line-search algorithm

Computational complexity and evolutionary computation

Using GAs to balance technical indicators on stock picking for financial portfolio composition

BBOB-benchmarking the Rosenbrock's local search algorithm

the future of experimental research

Opposition based initialization in particle swarm optimization (O-PSO)

Particle swarm hybridized with differential evolution: black box optimization benchmarking for noisy functions

Elementary landscape analysis

A data-based coding of candidate strings in the closest string problem

AMaLGaM IDEAs in noisy black-box optimization benchmarking

Accelerating evolutionary computation with graphics processing units

Multi-objective evolutionary optimization of 3D differentiated sensor network deployment

A memetic algorithm using local search chaining for black-box optimization benchmarking 2009 for noisy functions

Evolving quantum computer algorithms

Evolving biochemical reaction networks with stochastic attributes

A continuous variable neighbourhood search based on specialised eas: application to the noisy BBO-benchmark 2009 testbed

An information perspective on evolutionary computation

Towards a "theory of mind" in simulated robots

A stigmergy-based algorithm for black-box optimization: noisy function testbed

Generative and developmental systems

Biasing evolving generations in learning classifier systems using information theoretic measures

Black-box optimization benchmarking: results for the BayEDAcG algorithm on the noisy function testbed

Evolutionary computer vision

Evo_indent interactive evolution of GNU indent options

Benchmarking a BI-population CMA-ES on the BBOB-2009 function testbed

Large scale data mining using genetics-based machine learning

Cancer classification using microarray and layered architecture genetic programming

Benchmarking a BI-population CMA-ES on the BBOB-2009 noisy testbed

Evolutionary multiobjective combinatorial optimization (EMCO): emco

NEAT in increasingly non-linear control situations

Benchmarking the nelder-mead downhill simplex algorithm with many local restarts

Synthetic biology I

Prisoner's dilemma on graphs with heterogeneous agents

Benchmarking the BFGS algorithm on the BBOB-2009 function testbed

Synthetic biology: modelling and optimisation

Improving classification accuracy using evolutionary fuzzy transformation

Benchmarking the BFGS algorithm on the BBOB-2009 noisy testbed

Cartesian genetic programming

Robust speech recognition using evolutionary class-dependent LDA

Benchmarking the NEWUOA on the BBOB-2009 function testbed

Bio-inspired telecommunications

HS-ROBDD: an efficient variable order binary decision diagram

Benchmarking the NEWUOA on the BBOB-2009 noisy testbed

Theory of randomised search heuristics in combinatorial optimisation: an algorithmic point of view

An evolved neural controller for bipedal walking with dynamic balance

Benchmarking sep-CMA-ES on the BBOB-2009 function testbed

Fitness landscapes and graphs: multimodularity, ruggedness and neutrality

Motion detection in complex environments by genetic programming

Benchmarking sep-CMA-ES on the BBOB-2009 noisy testbed

Fitness landscapes and problem hardness in genetic programming

Using simulated annealing for producing software architectures

Benchmarking the (1+1) evolution strategy with one-fifth success rule on the BBOB-2009 function testbed

An investigation into the structure of genomes within an evolution that uses embryogenesis

Benchmarking the (1+1)-ES with one-fifth success rule on the BBOB-2009 noisy testbed

Novel bio-inspired self-repair algorithm for evolvable fault tolerant hardware systems

Benchmarking the (1+1)-CMA-ES on the BBOB-2009 function testbed

Solving iterated functions using genetic programming

Benchmarking the (1+1)-CMA-ES on the BBOB-2009 noisy testbed

Tree-structure-aware GP operators for automatic gait generation of quadruped robot

Application of a simple binary genetic algorithm to a noiseless testbed benchmark

Cryptanalysis of four-rounded DES using binary particleswarm optimization

Benchmarking the pure random search on the BBOB-2009 testbed

An evolutionary approach to constructive induction for link discovery

Benchmarking the pure random search on the BBOB-2009 noisy testbed

An entropy based heuristic model for predicting functional sub-type divisions of protein families

Self-reflection in evolutionary robotics: resilient adaptation with a minimum of physical exploration

Introduction to genetic programming ( GECCO '09 )

Content Provider	ACM Digital Library
Author	Poli, Riccardo McPhee, Nicholas Freitag
Abstract	Genetic programming (GP) is a collection of evolutionary computation techniques that allow computers to solve problems automatically. Using ideas from natural evolution, GP starts from an ooze of random computer programs, and progressively refines them through processes of mutation and sexual recombination, until solutions emerge. All this without the user having to know or specify the form or structure of solutions in advance. Since its inception twenty years ago, GP has been used to solve a wide range of practical problems, producing a number of human-competitive results and even patentable new inventions. Like many other areas of computer science, GP is evolving rapidly, with new ideas, techniques and applications being constantly proposed, making it is difficult for people to identify the key ideas in the field and keep up with the pace of new developments. The aim of this tutorial is to provide a roadmap to GP for both newcomers and old-timers. The tutorial starts with a gentle introduction which describes how a population of programs is stored in the computer so that they can evolve with time. We explain how programs are represented, how random programs are initially created, and how GP creates a new generation by mutating the better existing programs or combining pairs of good parent programs to produce offspring programs. Then, we describe a variety of alternative representations for programs and some advanced GP techniques. These include: the evolution of machine-code and parallel programs, the use of grammars and probability distributions for the generation of programs, variants of GP which allow the solution of problems with multiple objectives, many speed-up techniques and some useful theoretical tools. To illustrate genetic programming's scope, we then review some real-world applications of GP. The tutorial is concluded by a series of recommendations and suggestions to obtain the most from a GP system and open questions.
Starting Page	2775
Ending Page	2810
Page Count	36
File Format	PDF QT / MOV
ISBN	9781605585055
DOI	10.1145/1570256.1570403
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-07-08
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Genetic programming Evolutionary computation Gp Evolutionary algorithms
Content Type	Video Text
Resource Type	Article

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