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Observing the Evolution of Neural Networks Learning to Play the Game of Othello

S.Y. Chong, M.K. Tan, J.D. White
2005 IEEE Transactions on Evolutionary Computation  
Success in this case was due to a simple spatial preprocessing layer in the neural network that captured spatial information, self-adaptation of every weight and bias of the neural network, and a selection  ...  Comparisons between evolving neural networks and computer players that used deterministic strategies allowed evolution to be observed in real-time.  ...  The authors thank the Centre of Excellence for Research in Computational Intelligence and Applications (CERCIA), School of Computer Science, University of Birmingham, Birmingham, U.K., for providing computing  ... 
doi:10.1109/tevc.2005.843750 fatcat:6yyun5j34fe7bcwdilqbgn4264

Truss structure optimization using adaptive multi-population differential evolution

Chun-Yin Wu, Ko-Ying Tseng
2010 Structural And Multidisciplinary Optimization  
The self-adaptive strategy developed in this study is a new adaptive approach that adjusts the control parameters of MPDE by monitoring the number of infeasible solutions generated during the evolution  ...  This paper applies multi-population differential evolution (MPDE) with a penalty-based, self-adaptive strategy-the adaptive multi-population differential evolution (AMPDE)-to solve truss optimization problems  ...  Fig. 2 Flowchart of differential evolution 3 Adaptive multi-population differential evolution Adaptive multi-population differential evolution incorporates differential evolution via two methods: multipopulation  ... 
doi:10.1007/s00158-010-0507-9 fatcat:colvjsdu2bfz7navct4st5vqje

Interpreting Differentiation Landscapes In The Light Of Long-Term Linked Selection [article]

Reto Burri
2017 bioRxiv   pre-print
I then argue that a comparative population genomics framework that exploits emergent features of long-term linked selection can help overcome shortcomings of traditional genome scans for adaptive evolution  ...  Based on patterns emerging from recent research on the evolution of differentiation across the speciation continuum, I illustrate how long-term linked selection affects the distribution of differentiation  ...  Baird, Alexander Suh, Holger Schielzeth and three reviewers for valuable comments on previous versions of the manuscript.  ... 
doi:10.1101/131243 fatcat:vydkolm53zg4bkmd76ifodskqi

A non-exhaustive survey revealed possible genetic similarity in mitochondrial adaptive evolution of marine fish species in the northwestern Pacific

Linlin Zhao, Tianzi Wang, Fangyuan Qu, Zhiqiang Han
2020 ZooKeys  
We also summarized four types of adaptive patterns in the reviewed species, and suggest that the level of genetic differentiation and mitochondrial adaptive evolution might be correlated.  ...  By comparison, our results showed that the posterior part of the mitochondrial cytochrome b gene (particularly codon 372 and its neighboring sites) seemed to be involved in the adaptive evolution process  ...  Acknowledgements This work was supported by the National Key Research and Development Program of China (2017YFA0604902) and National Natural Science Foundation of China (41706187).  ... 
doi:10.3897/zookeys.974.55934 pmid:33110380 pmcid:PMC7557527 fatcat:ffrhfdbesbcm3bcmhbivzyzrbi

DIFFERENTIAL EVOLUTION WITH DYNAMIC ADAPTATION OF PARAMETERS BASED ON A FUZZY LOGIC AUGMENTATION APPROACH

Oscar Castillo, Patricia Ochoa, José Soria
2019 Journal of Universal Mathematics  
However using the Fuzzy Differential Evolution algorithm changing F in decrease we can observe that when performing the statistical test of Wilcoxon with other two fuzzy algorithms the proposed algorithm  ...  to the original differential evolution algorithm, with at the runtime of the algorithm proposed by us is better.  ...  JOURNAL OF UNIVERSAL MATHEMATICS VOL.2 NO.2 pp.183-207 (2019) ISSN -2618-5660 DIFFERENTIAL EVOLUTION WITH DYNAMIC ADAPTATION OF PARAMETERS BASED ON A FUZZY LOGIC AUGMENTATION APPROACH Patricia Ochoa, Oscar  ... 
doi:10.33773/jum.523748 fatcat:mxn65rtfwjbglnw3p3rpngzcse

4G LTE Network Coverage Optimization Using Metaheuristic Approach

Zikrie Pramudia Alfarhisi, Hadi Suyono, Fakhriy Hario Partiansyah
2021 International Journal of Computer Applications Technology and Research  
The methods used are the Differential Evolution Algorithm (DEA) and Adaptive Mutation Genetic Algorithm (AMGA), which are categorized as metaheuristic approach.  ...  Coverage overlap is a condition when some cell sites in an area overlap. It implies in the occurrence of hand off and an inefficient network management.  ...  result of the Adaptive Mutation Genetic Algorithm (AMGA) Comparison between the optimization result of DEA and AMGA Table 1 . 1 Optimization parameters of the Differential Evolution Algorithm (DEA)  ... 
doi:10.7753/ijcatr1001.1003 fatcat:vbfue2nnajew3oumrazhrb5u7m

Discovering Correlation Indices for Link Prediction Using Differential Evolution

Giulio Biondi, Valentina Franzoni
2020 Mathematics  
The research of domain-specific correlation indices or the adaptation of known ones is therefore a problem of critical concern.  ...  The proposed solution is based on Differential Evolution, evolving the coefficient vectors of meta-correlations, structures that describe classes of binary similarity indices and subsume the most known  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/math8112097 fatcat:yllkfj4uufdpjk2hlws6bwdvgu

An adaptive single-point algorithm for global numerical optimization

Francisco Viveros-Jiménez, José A. León-Borges, Nareli Cruz-Cortés
2014 Expert systems with applications  
SAC has a restarting mechanism, and a powerful adaptive mutation process that resembles the one used in Differential Evolution.  ...  SAC is a simple efficient single-point approach that does not require a careful fine-tunning of its two parameters.  ...  Section 5 presents a comparison of SAC against four state-of-the-art approaches: Elitist Evolution, micro-Particle Swarm Optimization, Simple Adaptive Differential Evolution, and Restart CMA-ES.  ... 
doi:10.1016/j.eswa.2013.08.018 fatcat:dvdin2lxpzcvjdhgjhtvnmxfky

Variation in the rate of convergent evolution: adaptation to a laboratory environment in Drosophila subobscura

M. Matos, T. Avelar, M. R. Rose
2002 Journal of Evolutionary Biology  
POCTI/BSE/ 33673 for the later phases of the second study. M. Matos received financial support from FCG and from FLAD for some of the travel to U.C.I.  ...  Acknowledgments The authors wish to thank A. Coelho, C. Alcobia, C. Rego, H. Teotó nio and M. T. Rocha Pité for help inside and outside the laboratory, especially during the first study, and I.  ...  The most common approach for investigating adaptive evolution has been a comparative approach to infer evolutionary patterns and processes.  ... 
doi:10.1046/j.1420-9101.2002.00405.x fatcat:jn3ax6dfmncl5fax6q2pgbkezu

Rapid evolution of disease resistance is accompanied by functional changes in gene expression in a wild bird

C. Bonneaud, S. L. Balenger, A. F. Russell, J. Zhang, G. E. Hill, S. V. Edwards
2011 Proceedings of the National Academy of Sciences of the United States of America  
Two weeks following an experimental infection that took place in 2007, finches from eastern US populations with a 12-y history of exposure to MG harbored 33% lower MG loads in their conjunctivae than finches  ...  Here we use experimental and molecular approaches to investigate the recent emergence of resistance in eastern populations of North American house finches (Carpodacus mexicanus) to Mycoplasma galliseptum  ...  The authors declare no conflict of interest. This article is a PNAS Direct Submission.  ... 
doi:10.1073/pnas.1018580108 pmid:21525409 pmcid:PMC3093480 fatcat:ecelezdkbjfijpljfj7hqve3ye

Predictable genome-wide sorting of standing genetic variation during parallel adaptation to basic versus acidic environments in stickleback fish

Quiterie Haenel, Marius Roesti, Dario Moser, Andrew D. C. MacColl, Daniel Berner
2019 Evolution Letters  
Genomic studies of parallel (or convergent) evolution often compare multiple populations diverged into two ecologically different habitats to search for loci repeatedly involved in adaptation.  ...  Because the shared ancestor of these populations is generally unavailable, the source of the alleles at adaptation loci, and the direction in which their frequencies were shifted during evolution, remain  ...  The B-A comparisons revealed two further genomic regions (on chromosomes V and XVII) showing extended population differentiation over hundreds of kilobases, although the consistency of differentiation  ... 
doi:10.1002/evl3.99 pmid:30788140 pmcid:PMC6369934 fatcat:xnr37g7z35aihotceudbg6xkt4

The geography of behaviour: an evolutionary perspective

Susan A. Foster
1999 Trends in Ecology & Evolution  
In the case of stickleback, population comparisons indicate that both loss and shifts in expression can rapidly produce adaptive differentiation.  ...  One approach is to study a taxon in which two or more populations exhibit ecotypic differences that parallel differences between sibling species within the group.  ... 
doi:10.1016/s0169-5347(98)01577-8 pmid:10322532 fatcat:ek2e2zzlgffd5fzwj4pa3g2die

Optimized Placement Approach on Reconfigurable FPGA

Mohammad Naouss, Marwa Hannachi
2019 International Journal of Modeling and Optimization  
In this paper, the regression model is taken as an example and the differential evolution algorithm is compared with the particles swarm optimization algorithm.  ...  The results show that the differential evolution algorithm has better performance.  ...  Fig. 2 is the standard flow chart of differential evolution. DE has the advantage of incorporating a relatively simple and efficient form of self-adapting mutation.  ... 
doi:10.7763/ijmo.2019.v9.698 fatcat:egeh6u35j5cfvfiohh52ilzin4

The environmental genomics of metazoan thermal adaptation

D Porcelli, R K Butlin, K J Gaston, D Joly, R R Snook
2015 Heredity  
by adapting to a changing thermal environment.  ...  The paradigm of 'move, adapt or die', regarding ways in which organisms can respond to environmental stressors, stimulates intense efforts to predict the future of biodiversity.  ...  ACKNOWLEDGEMENTS We acknowledge NERC for funding our work related to thermal adaptation and environmental genomics and our project partners associated with this research: Anna Qvarnström, Bregje Wertheim  ... 
doi:10.1038/hdy.2014.119 pmid:25735594 pmcid:PMC4815515 fatcat:3eovdh72ejha5mmtx2spobd3m4

An improved Differential Evolution algorithm using learning automata and population topologies

Javidan Kazemi Kordestani, Ali Ahmadi, Mohammad Reza Meybodi
2014 Applied intelligence (Boston)  
A new variant of Differential Evolution (DE), called ADE-Grid, is presented in this paper which adapts the mutation strategy, crossover rate (CR) and scale factor (F) during the run.  ...  The performance comparison between ADE-Grid and other state-of-the-art DE variants indicates that ADE-Grid is a viable approach for optimization.  ...  Int J Comput Intell Res 1:151-A, Chakraborty UK (2005) Two improved differential evolution schemes for faster global search.  ... 
doi:10.1007/s10489-014-0585-2 fatcat:zrjq3gt5hfgqtbcosytgsipml4
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