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Parallel Genetic Programming on Graphics Processing Units
[chapter]
2012
Genetic Programming - New Approaches and Successful Applications
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Genetic Programming -New Approaches and Successful Applications ...
A strategy of parallelization described in Section 4.4 will show how the SPMD parallelism can be exploited in order to produce one of the most efficient parallel algorithms for genetic programming on GPUs ...
doi:10.5772/48364
fatcat:67pneyysnfcndg4ibj4jwdk3ae
A genetic programming approach to solve scheduling problems with parallel simulation
2008
Proceedings, International Parallel and Distributed Processing Symposium (IPDPS)
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Genetic programming is applied as the creator and optimizer of the rules. A simulator is used for the fitness evaluation and distributed over a number of machines. ...
Some example results suggest that the approach could be successfully applied in the real world as the results are more than human competitive. ...
Genetic Programming Approach Genetic programming (GP) [3] is a special type of encoding and generally circumscribes a GA [4] that operates on a tree representation, although theoretically any optimization ...
doi:10.1109/ipdps.2008.4536379
fatcat:udd7o5voibaaxmu66vph6pbc6q
A genetic programming approach to solve scheduling problems with parallel simulation
2008
Proceedings, International Parallel and Distributed Processing Symposium (IPDPS)
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Genetic programming is applied as the creator and optimizer of the rules. A simulator is used for the fitness evaluation and distributed over a number of machines. ...
Some example results suggest that the approach could be successfully applied in the real world as the results are more than human competitive. ...
Genetic Programming Approach Genetic programming (GP) [3] is a special type of encoding and generally circumscribes a GA [4] that operates on a tree representation, although theoretically any optimization ...
doi:10.1109/ipdps.2008.4536362
dblp:conf/ipps/BehamWWA08
fatcat:k5grtgeaqjb2zj3xaj57pjishi
A data parallel approach to genetic programming using programmable graphics hardware
2007
Proceedings of the 9th annual conference on Genetic and evolutionary computation - GECCO '07
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This is not applicable for single processor architectures but graphics cards provide a mechanism for developing a data parallel implementation of genetic programming. ...
Traditional genetic programming is a highly computer intensive algorithm but due to its parallel nature it can be distributed over multiple processors to increase the speed of the algorithm considerably ...
Thus we implemented a much faster version of genetic programming by using a data parallel approach which can use the graphics card. ...
doi:10.1145/1276958.1277274
dblp:conf/gecco/Chitty07
fatcat:ghs5djvb3jh4rjboplnwns54xq
A Genetic Programming Approach to the Matrix Bandwidth-Minimization Problem
[chapter]
2010
Parallel Problem Solving from Nature, PPSN XI
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In this paper, a Genetic Programming approach is proposed and tested against two of the best-known and widely used bandwidth reduction algorithms. Results have been extremely encouraging. ...
This problem, which is known to be NP-complete, can also be formulated as a vertex labelling problem for a graph whose edges represent the non-zero elements of the matrix. ...
Conclusions In this paper, a genetic programming approach has been introduced for solving the problem of the reduction of the bandwidth of a graph or a matrix. ...
doi:10.1007/978-3-642-15871-1_49
dblp:conf/ppsn/KoohestaniP10
fatcat:5qoyg6d77fen3oi2gifafcwska
Parallel Recombinative Reinforcement Learning: A Genetic Approach
1996
Journal of Intelligent Systems
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The method allows an efficient parallel implementation and is based on the combination of genetic algorithms and reinforcement learning schemes. ...
At each step of the proposed technique the population members are updated according to a reinforcement learning rule and then recombined in a manner analogous to traditional genetic algorithm operation ...
Fig. 1:
The basic PRRL algorithm
153
Vol. 6, No. 2, 1996
Parallel Recombinative Reinforcement Learning:
A Genetic Approach
operations can be performed simultaneously for all members of the
population ...
doi:10.1515/jisys.1996.6.2.145
fatcat:wdifpbejjjco7dgmyeiwhaae64
A Scalable Genetic Programming Approach to Integrate miRNA-Target Predictions: Comparing Different Parallel Implementations of M3GP
2018
Complexity
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In this work, we adopt a method called multidimensional multiclass GP with multidimensional populations (M3GP), which relies on a genetic programming approach, to integrate and classify results from different ...
Since we aim to provide genome-wide predictions with M3GP and, considering the high number of miRNA-target interactions to test (also in different species), a parallel implementation of this algorithm ...
The idea behind this method is to improve the standard genetic programming technique in which a population of candidate solutions is evolved by applying genetic operators until an ending criterion is reached ...
doi:10.1155/2018/4963139
fatcat:uprroodocjbq5l2e2jphtujzpu
A Fresh Approach to Evaluate Performance in Distributed Parallel Genetic Algorithms
[article]
2021
arXiv
pre-print
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This work proposes a novel approach to evaluate and analyze the behavior of multi-population parallel genetic algorithms (PGAs) when running on a cluster of multi-core processors. ...
a few meaningful numeric parameters. ...
nature allows to parallelize them as a promising approach for overcoming this drawback. ...
arXiv:2106.09922v1
fatcat:7y2ynyotfzc2jknlcjgnwusy7i
Genetic programming
2000
IEEE Intelligent Systems and their Applications
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In the long run, genetic programming 1,2 and its kin will revolutionize program development. Present methods are not mature enough for deployment as automatic programming systems. ...
SYSTEMS Genetic programming A wide range of core concepts in AI-and in computer science in general-can be traced to computational metaphors inspired by a rich variety of phenomena in the natural world ...
Furthermore, the often lateral approach required for parallel program design, although a foreign way of thinking for many programmers, is tailor made for GP's bottom-up approach. ...
doi:10.1109/5254.846288
fatcat:ybqs5ztufzf3tgfk7qjpupoxdm
A uniform approach for programming distributed heterogeneous computing systems
2014
Journal of Parallel and Distributed Computing
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An OpenCL program comprises a host program http://dx. ...
It introduces an open standard for generalpurpose parallel programming of heterogeneous systems, which has been implemented by many vendors such as Adapteva, Altera, AMD, ARM, Intel, Imagination Technologies ...
FastFlow [2] is a structured parallel programming framework targeting clusters of multi-core workstations. ...
doi:10.1016/j.jpdc.2014.08.002
pmid:25844015
pmcid:PMC4375632
fatcat:cisjmepk6vc2nervqlpnxwna4y
A new parallel method based on a genetic approach for determination and classification of skin spots
[chapter]
1995
Lecture Notes in Computer Science
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A low cost CCD camera system connected to a transputer network as a parallel processing device has been developed for the determination of human skin objects. ...
A new genetic method based on mathematical morphology has been developed to detect objects and estimate shape properties of skin objects such as speckles and blood vessels on an arbitrarily chosen area ...
This paper presents a new method based on a genetic approach to detect objects and estimate shape properties (perimeter, area, mean diameter, shape factor) and distribution of skin objects like speckles ...
doi:10.1007/3-540-60298-4_246
fatcat:odecdyy4uvdevoiydcdfoqadwu
Parallel Genetic Programming
[chapter]
2005
Handbook of Bioinspired Algorithms and Applications
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Fitness Function Genetic programming 9 Genetic Programming Genetic Programming
History There are two main ideas behind Parallel Eas: Increase performances: in principle, by adding processors, memory ...
Parallel GP 29 Parallel GP : A review K. Stoffel and L. Spector 1996, implemented a parallel version of GP using linear programs evaluated by means of a stack. ...
doi:10.1201/9781420035063.ch5
fatcat:qu5svuhgxbbhbaaqackdilvv4e
A Parallel Approach to Identifying Biomarkers
2003
Environmental Health Perspectives
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NCT Update
Toxicoproteomics: A Parallel Approach to Identifying Biomarkers transcript changes in kinases, proteases, phosphorylases, conjugating enzymes, and other enzymes that target specific proteins ...
This parallel approach combines the high level of gene discovery of microarray analysis with the utility of proteomics in exploiting post-translational modifications of target proteins affected by toxicants ...
doi:10.1289/ehp.111-1241639
pmid:12940285
pmcid:PMC1241639
fatcat:2a2hhibbizcrzepjf27hg2tmjm
A novel parallel approach to the likelihood-based estimation of admixture in population genetics
2009
Computer applications in the biosciences : CABIOS
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A novel parallel approach is briefly described and promising results on its message passing interface (MPI)-based C++ implementation are reported. ...
Inferring population admixture from genetic data and quantifying it is a difficult but crucial task in evolutionary and conservation biology. ...
The parallel program implementing the proposed approach showed to be very effective on a quite large, meaningful test problem. ...
doi:10.1093/bioinformatics/btp136
pmid:19286832
fatcat:csa7sw6ognhcffw4xefnc3whue
Molecular genetic programming
2001
Soft Computing - A Fusion of Foundations, Methodologies and Applications
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The paper addresses a new implementation of genetic programming by using molecular approach. Our method is based on data¯ow techniques in DNA computing. ...
We propose a way to handle these graph encoding molecules and which can be considered a genetic programming algorithm; a short discussion about experiments in implementing parts of this procedure is added ...
On the whole, genetic programming is a methodology to solve problems by genetically breeding populations of computer programs. ...
doi:10.1007/s005000000077
fatcat:av2rdvecgjb47lj4x5qmfrs5eq
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