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Review of "Bioinformatics: A Computing Perspective" edited by Shuba Gopal, Anne Haake, Rhys Price Jones and Paul Tymann
2009
Algorithms for Molecular Biology
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, detailed experimental methodologies and computing algorithm for understanding biological complexes. ...
It provides the reader with a basic example and simple pattern matching and graph algorithms for solving the sample problem. ...
doi:10.1186/1748-7188-4-9
pmcid:PMC2705354
fatcat:hhbr7c5nmjblfpxq527fztjrme
Editorial for the Special Issue on Theoretical Foundations of Evolutionary Computation
2014
IEEE Transactions on Evolutionary Computation
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A basic question about any evolutionary algorithm is whether it will discover an optimal solution within finite time. ...
This insight not only leads to a better understanding of the type of problems suitable for a given type of algorithm, but it also provides design guidelines for developing new more powerful methods in ...
doi:10.1109/tevc.2014.2350673
fatcat:2pwlfcy36vcuniypmc645dwez4
The Rise and Fall of Basic Science
2015
Frontiers in Systems Neuroscience
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In these projects the basic scientific principles (e.g., genetic codes and physical laws) were known, the path for scientific findings was clear and the only missing component was an intensive application ...
Imagine for example an evolutionary path leading from chemotaxis to object localization. ...
Imagine for example an evolutionary path leading from chemotaxis to object localization. ...
doi:10.3389/fnsys.2015.00160
pmid:26635550
pmcid:PMC4653577
fatcat:z64mi5ge5bh6vb5lh3lngoih3u
Matching suitable feature construction for SAR images based on evolutionary synthesis strategy
2013
Chinese Journal of Aeronautics
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In the paper, a set of algorithms to construct synthetic aperture radar (SAR) matching suitable features are firstly proposed based on the evolutionary synthesis strategy. ...
During the process, on the one hand, the indexes of primary matching suitable features (PMSFs) are designed based on the characteristics of image texture, SAR imaging and SAR matching algorithm, which ...
They would also like to thank the anonymous reviewers for their critical and constructive review of the manuscript. This study was ...
doi:10.1016/j.cja.2013.07.030
fatcat:eva5khnzwvffjmya7jmlcgaqve
Evolution in Cognition 2016 Chairs' Welcome
2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion - GECCO '16 Companion
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These natural evolutionary processes have inspired the development of Evolutionary Algorithms (EAs), which are optimization algorithms widely popular due to their efficiency and robustness. ...
The combination of these two abilities makes EAs a tool of choice for the resolution of complex problems. ...
The framework utilizes an evolutionary algorithm that results in a considerable decrease in the time needed for fitness evaluation. ...
doi:10.1145/2908961.2931670
dblp:conf/gecco/DoncieuxADV16
fatcat:qq7nmla3hzhchad66nvguzbaim
Evolution strategies: An alternative evolutionary algorithm
[chapter]
1996
Lecture Notes in Computer Science
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The author would also like to thank Marc Schoenauer for the invitation to present this talk at Evolution Arti cielle 1995. ...
This principle, which is not that simple to understand at rst glance, is the topic of the next section. ...
velocity, such that presently a relatively deep understanding of their working principles is available. ...
doi:10.1007/3-540-61108-8_27
fatcat:g75nzxisc5gbzhvv33i4oewhpy
Marr's levels and the minimalist program
2016
Psychonomic Bulletin & Review
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A deeper understanding of human language at the algorithmic and implementational levels could strengthen Minimalist Program's account of the evolution of language. ...
Thus the formal complexity of a change at the computational level may not be a good guide to the plausibility of an evolutionary event introducing that change. ...
Acknowledgments I'd like to thank Stephen Crain, Katherine Demuth, Amy Perfors, Mark Steedman and the members of Macquarie University's Centre for Language Sciences for their insightful suggestions and ...
doi:10.3758/s13423-016-1062-1
pmid:27368624
fatcat:hdstjgwi5jc53lbqiue56ou6wu
Adaptive individual handling for neural network synthesis
2016
MATEC Web of Conferences
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This results vindicate efforts for its further development. This paper explores a possibility to make it more effective by adaptive individual handling. ...
The method is based on Analytic Programming and asynchronous implementation of Self-Organising Migration Algorithm. ...
Important facts about AP which are necessary for basic understanding of an idea proposed in the paper as an adaptive individual handling are described in chapters 2. And 3. ...
doi:10.1051/matecconf/20167604035
fatcat:6hb6xtf47natfdkxdwb2zb6vz4
Adaptive Control of Neural Network Synthesis
2017
MATEC Web of Conferences
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Neural Network Synthesis is a method based on based on Analytic Programming and asynchronous implementation of Self-Organising Migration Algorithm. ...
This paper introduce an idea of adaptive control of Self-Organising Migration Algorithm based on complexity of processed neural network structure. ...
Important facts about AP which are necessary for basic understanding of an idea proposed in the paper as an adaptive individual handling are described in chapters 2. And 3. ...
doi:10.1051/matecconf/201712502061
fatcat:ykjfla73cbcuvafssvuzfewe7m
Principled Evolutionary Algorithm Design and the Kernel Trick
2016
Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion - GECCO '16 Companion
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We introduce a new approach to the principled design of evolutionary algorithms (EAs) based on kernel methods. ...
The broad approach of EA principled design is to first better understand the problem domain (PD) being optimized. ...
In principle, such linear algorithms can be extended to cope with non-linear problems/data using an explicit transform Φ : S → V from the original search space S to some (usually higher dimensional) kernel ...
doi:10.1145/2908961.2909005
dblp:conf/gecco/LaneAR16
fatcat:icqfrlcfqfdvnghmww3jhydlrm
Evolutionary Algorithms for Query Op-timization in Distributed Database Sys-tems: A review
2018
Advances in Distributed Computing and Artificial Intelligence Journal
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Query optimization; Distributed database; Evolutionary Computation; Bio-inspired algorithms Evolutionary Algorithms are bio-inspired optimization problem-solving approaches that exploit principles of biological ...
However, Evolutionary approaches are promising for the optimization problems. The problem of query optimization in a distributed database environment is one of the complex problems. ...
Furthermore, the basic working principle and Pseudo Code of algorithmic approaches of evolutionary computation (GA and MA) and swarm intelligence (ACO and PSO) are given in the next subsections. ...
doi:10.14201/adcaij201873115128
fatcat:jutbctoz3neppdg2ngommtwheu
Bringing evolutionary computation to industrial applications with guide
2009
Proceedings of the 11th Annual conference on Genetic and evolutionary computation - GECCO '09
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algorithms. ...
However, Evolutionary Algorithms are rarely used outside the circle of knowledgeable practitioners, and in that way have not achieved a status of useful enough tool to assist "general" researchers. ...
The need for such a "democratization" of the field has appeared along with the practical success of Evolutionary Algorithms to solve hard optimization problems. ...
doi:10.1145/1569901.1570098
dblp:conf/gecco/CostaS09
fatcat:bjp7neoujna3vhlzj3nt7lsg3i
Is Evolution Algorithmic?
2009
Minds and Machines
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The question is how to understand "algorithmic". What would make the claim about the evolution true? ...
For that to be true, the processes have to be part of computational systems. The basic difference between mere simulation and real computing is having proper causal structure. ...
However, it might be argued that general code structure is, in principle, always sketchy and trivial. What we need to find is a specific code for specific evolutionary processes. ...
doi:10.1007/s11023-009-9170-6
fatcat:fa4yj7hirnarhijkrx442t2owi
Page 5855 of Mathematical Reviews Vol. , Issue 2004g
[page]
2004
Mathematical Reviews
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Numerical examples are presented.”
2004g:90153 90C59 68T0S
Weicker, Karsten (D-STGT-IFM; Stuttgart) ;
Weicker, Nicole (D-STGT-IFM; Stuttgart)
Basic principles for understanding evolutionary algorithms. ...
This article outlines a networked understanding of evolutionary algorithms. ...
Survey on Multi-Objective Evolutionary Algorithms
2019
Journal of Physics, Conference Series
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Multi-objective evolutionary algorithm (MOEA) is the main method to solve multi-objective optimization problem (MOP), which has become one of the hottest research areas of evolutionary computation. ...
Finally several viewpoints for the future research of MOEA are presented. ...
Evolutionary algorithm (EA) is very suitable for solving such problem, and provide an equilibrium solution set. ...
doi:10.1088/1742-6596/1288/1/012057
fatcat:jugqqqyonvhoflgkvs5xmdtjga
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