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Gecco 2008 grammatical evolution tutorial

R. Muhammad Atif Azad, Conor Ryan
2008 Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation - GECCO '08  
than one non-terminal, a codon could be used differently in the offspring (University of Limerick) Grammatical Evolution July 12, 2008 34 / 82 Genetic Operators Ripple Crossover Effects of Ripple  ...  differently in the offspring (University of Limerick) Grammatical Evolution July 12, 2008 34 / 82 Genetic Operators Ripple Crossover Intrinsic Polymorphism With more than one non-terminal,  ... 
doi:10.1145/1388969.1389058 dblp:conf/gecco/AzadR08 fatcat:ihuz5czhdrhzdi53ttcmpmrudq

Genetic Algorithm for Optimization of Design Variables in 4th Order Sallen Key High Pass Filter

Kwang Shenq Eu, Siew Chin Neoh
2013 Journal of Industrial and Intelligent Information  
The optimization aims to achieve specified range of output gain, cut-off frequency and pass band ripple. The circuit is simulated with LTspice, while the algorithm is developed in Matlab.  ...  This paper suggests a stochastic Genetic Algorithm (GA)-based model to optimize the 4 th Order Sallen Key High Pass Filter.  ...  In contrast to crossover, mutation operation pioneers new searching space in a population. This genetic operator decelerates the premature convergence issue to local optimal [15] .  ... 
doi:10.12720/jiii.1.3.139-142 fatcat:bfc7fpzguncgjb2lcpxe2vfdqq

Genetic Algorithm-Based Optimization of 3rd Order Multiple Feedback Low Pass Filter

A. A. Wan, S. C. Neoh
2013 International Journal of Modeling and Optimization  
In order to achieve these specifications, the input parameters need to be optimized.  ...  Index Terms-Genetic algorithm, optimization, multiple feedback, low pass filter.  ...  In addition, there are lots of application that used GA such as optimization, robotics, machine learning, signal processing, automatic programming, economics, ecology, population genetics and many more  ... 
doi:10.7763/ijmo.2013.v3.324 fatcat:sulxday3gvaipij2zsizsan6vu

Shape Optimization for Magnet and Flux Barriers of IPMSM By Using Polygon Model Method with GP

Kota ISHIKAWA, Wataru KITAGAWA, Takaharu TAKESHITA
2015 Journal of the Japan Society of Applied Electromagnetics and Mechanics  
Authors use the polygon model method with genetic programming (GP) by the twodimensional finite element method (2D-FEM). In this method, the analysis model of IPMSM is regarded as a tree structure.  ...  This paper presents the shape optimization of magnet and flux barriers in the interior permanent magnet synchronous motor (IPMSM).  ...  In the engineering, the shapes and characteristics of magnet and flux barriers are taken into consideration.  ... 
doi:10.14243/jsaem.23.533 fatcat:7chekcjbmbcybkklkpq2evoi3i

Design of Fiber-Optical Parametric Amplifiers by Genetic Algorithm

W. Zhang, C. Wang, J. Shu, C. Jiang, W. Hu
2004 IEEE Photonics Technology Letters  
Meanwhile, fluctuation in zero-dispersion wavelength of fibers is taken into consideration and its influence is briefly analyzed.  ...  The results show that present FOPA has more than 300-nm flat bandwidth with a central wavelength of 1500 nm and a gain ripple of less than 0.3 dB.  ...  Step 4) Crossover.  ... 
doi:10.1109/lpt.2004.828541 fatcat:vwbrtbyo3bhmdj7huxikjykrk4

Real Coded Genetic Algorithm Based Improvement of Efficiency in Interleaved Boost Converter

M Arundevi, K Valarmathi, R Mahendran
2015 International Journal of Power Electronics and Drive Systems  
The real coded genetic algorithm is applied in the Interleaved Boost Converter with Advanced Pulse Width Modulation Techniques for improving the results of efficiency and reduction of ripple current.  ...  Simulation results illustrate the improvement of efficiency and the diminution of ripple current.</p></td></tr></tbody></table>  ...  This artificial evolution process of real coded genetic algorithm is the foundation of the three main different evolutionary based algorithms: Evolutions Strategies (ES) [21] , Evolutionary Programming  ... 
doi:10.11591/ijpeds.v5.i4.pp529-540 fatcat:ctt5wea3orfctcmkbyzdpqpnmq

A Competitive Building Block Hypothesis [chapter]

Conor Ryan, Hammad Majeed, Atif Azad
2004 Lecture Notes in Computer Science  
This paper is concerned with examining the way in which rooted building blocks grow in GP-like systems.  ...  We hypothesize that, in addition to the normal notion of co-operative building blocks, there are also competitive building blocks in the population.  ...  If a change occurs in the earlier part of the chromosome, the effect ripples through the rest of the genome. Thus, the one point crossover in GE is termed as the ripple crossover.  ... 
doi:10.1007/978-3-540-24855-2_73 fatcat:gojsjvbgjvg2zg6ng4m5puzche

Design of Digital Low Pass IIR Filter using Real Coded Genetic Algorithm

Bhagyashree K., Mahesh S.
2016 Communications on Applied Electronics  
This paper presents the design method for Infinite Impulse Response (IIR) digital filter with the use of Real Coded Genetic Algorithm (RGA/RCGA).  ...  The improved mean-square-error (MSE) is observed in simulation results for example taken.  ...  Genetic algorithm (GA) and Evolutionary Programming (EP) are general purpose search algorithms which make use of evolutionary ideas of natural selection and genetic dynamics [6] [7] [8] [9] [10] to find  ... 
doi:10.5120/cae2016652038 fatcat:kqa6shnayfdzbm7l72qxzieche

Sequential Ordering of Code Smells and Usage of Heuristic Algorithm

T. Pandiyavathi, T. Manochandar
2015 Indian Journal of Science and Technology  
Automated tools are used for detecting the bad smells in the program. This problem is called as ripple effect and we aim in reducing and removing this effect in the program.  ...  Complexity of the current approach lies in finding the fitness function based on which the crossover and mutation in the genetic algorithm are done.  ... 
doi:10.17485/ijst/2015/v8is2/57796 fatcat:3pzx5pwiuzbdjn2gim7di6uizi

Grammatical Evolution with Bidirectional Representation [chapter]

Jiří Kubalík, Jan Koutník, Léon J.M. Rothkrantz
2003 Lecture Notes in Computer Science  
Grammatical evolution is an evolutionary algorithm designed to evolve programs in any language.  ...  Once two individuals are crossed over by means of simple one-point crossover the tail parts of the chromosomes (originally encoding the structures on the right side of the program tree) may map on different  ...  Namely the one-point crossover, called the ripple crossover in the context of GE [3] , exhibits very good characteristics in terms of the generative and explorative capabilities.  ... 
doi:10.1007/3-540-36599-0_33 fatcat:ju36wgciqveupjlkmgscl4inny

Efficient Crossover in the GAuGE System [chapter]

Miguel Nicolau, Conor Ryan
2004 Lecture Notes in Computer Science  
This paper presents a series of context-preserving crossover operators for the GAuGE system.  ...  These operators have been designed to respect the representation of genotype strings in GAuGE, thereby making sensible changes at the genotypic level.  ...  Homologous Crossover In the standard crossover, the degree of the ripple effect of changes occurring when a set of specifications is interpreted in a new context depends on how different that new context  ... 
doi:10.1007/978-3-540-24650-3_12 fatcat:mzih6i7fvngq7p2l7syapybi2y

A ripple-spreading Genetic Algorithm for the airport Gate Assignment Problem

Xiao-Bing Hu, Ezequiel Di Paolo
2009 2009 IEEE Congress on Evolutionary Computation  
of Genetic Algorithms (GAs), The design of such GAs is often confronted with feasibility and memory-efficiency problems.  ...  The effectiveness of the new hybrid GA based on the ripple-spreading model for the GAP problem are illustrated by experiments.  ...  space, and then a traditional GA with the basic binary representation A Ripple-Spreading Genetic Algorithm for the Airport Gate Assignment Problem Xiao-Bing Hu and Ezequiel Di Paolo compatible to classic  ... 
doi:10.1109/cec.2009.4983167 dblp:conf/cec/HuP09 fatcat:2dp6fmbqzfalfncq5oclcoilzq

Grammatical evolution support vector machines for predicting human genetic disease association

Skylar Marvel, Alison Motsinger-Reif
2012 Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion - GECCO Companion '12  
Identifying genes that predict common, complex human diseases is a major goal of human genetics.  ...  Selection of which features to include in the SVM model and what parameters or kernels to use can often be a difficult task.  ...  The use of a grammar allows for unconstrained searching via evolutionary operations to occur at the genetic level, such as point mutations and crossover events, while maintaining a valid phenotypic program  ... 
doi:10.1145/2330784.2330881 dblp:conf/gecco/MarvelM12 fatcat:bejsgehwuvh27ethjqzxdppaqy

PHASE-ONLY AND AMPLITUDE-PHASE ONLY SYNTHESIS OF DUAL-BEAM PATTERN LINEAR ANTENNA ARRAYS USING FLOATING-POINT GENETIC ALGORITHMS

Gautam Kumar Mahanti, Ajay Chakraborty, Sushrut Das
2007 Electromagnetic Waves  
In this paper, we present a comparison study between phase-only and amplitude-phase synthesis of symmetrical dual-pattern linear antenna arrays using floating-point or real-valued genetic algorithms (GA  ...  In the former, phase is only optimized with predetermined Gaussian amplitude distribution of fixed dynamic range ratio (|a max /a min |) and in the latter, both are optimized with less dynamic range ratio  ...  Programs are written in Matlab6.5 code and run on a PentiumIV personal computer. The flow chart of floatingpoint GA is shown in Fig. 2 .  ... 
doi:10.2528/pier06072301 fatcat:7sfapz6yizg6jectslbxsy3qdy

Investigation of the Performance of Different Mapping Orders for GE on the Max Problem [chapter]

David Fagan, Miguel Nicolau, Erik Hemberg, Michael O'Neill, Anthony Brabazon, Sean McGarraghy
2011 Lecture Notes in Computer Science  
We conclude that the reduction of performance in the Max problem domain by πGE is rooted in the way the genotype-phenotype map and the genetic operators used with this mapping interact.  ...  expansion in the genotype-phenotype map is responsible.  ...  Acknowledgments This research is based upon works supported by the Science Foundation Ireland under Grant No. 08/IN.1/I1868.  ... 
doi:10.1007/978-3-642-20407-4_25 fatcat:plqkn2omgrbl3mqlooieejhwke
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