A novel local search method for LSGO with golden ratio and dynamic search step
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[1] Xiaodong Li,et al. Efficient Resource Allocation in Cooperative Co-Evolution for Large-Scale Global Optimization , 2017, IEEE Transactions on Evolutionary Computation.
[2] Ponnuthurai Nagaratnam Suganthan,et al. Benchmark Functions for the CEC'2013 Special Session and Competition on Large-Scale Global Optimization , 2008 .
[3] Janez Brest,et al. Improved Differential Evolution for Large-Scale Black-Box Optimization , 2018, IEEE Access.
[4] Jorge Nocedal,et al. Remark on “algorithm 778: L-BFGS-B: Fortran subroutines for large-scale bound constrained optimization” , 2011, TOMS.
[5] Ponnuthurai N. Suganthan,et al. Self-adaptive differential evolution with multi-trajectory search for large-scale optimization , 2011, Soft Comput..
[6] Francisco Herrera,et al. An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions , 2018, Cognitive Computation.
[7] Francisco Herrera,et al. MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization , 2010, IEEE Congress on Evolutionary Computation.
[8] K. Manikantan,et al. Optimal Multilevel Thresholds based on Tsallis Entropy Method using Golden Ratio Particle Swarm Optimization for Improved Image Segmentation , 2012 .
[9] Ying-Ping Chen,et al. Analysis on the Collaboration Between Global Search and Local Search in Memetic Computation , 2011, IEEE Transactions on Evolutionary Computation.
[10] Nanda Dulal Jana,et al. A Survey on Metaheuristics for Solving Large Scale Optimization Problems , 2017 .
[11] Anas A. Hadi,et al. LSHADE-SPA memetic framework for solving large-scale optimization problems , 2018, Complex & Intelligent Systems.
[12] Antonio Bolufé Röhler,et al. Measuring the curse of dimensionality and its effects on particle swarm optimization and differential evolution , 2014, Applied Intelligence.
[13] Giovanni Morone,et al. Phi in physiology, psychology and biomechanics: The golden ratio between myth and science , 2018, Biosyst..
[14] Anas A. Hadi,et al. LSHADE with semi-parameter adaptation hybrid with CMA-ES for solving CEC 2017 benchmark problems , 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).
[15] Janez Brest,et al. A review of the recent use of Differential Evolution for Large-Scale Global Optimization: An analysis of selected algorithms on the CEC 2013 LSGO benchmark suite , 2019, Swarm Evol. Comput..
[16] Roger J.-B. Wets,et al. Minimization by Random Search Techniques , 1981, Math. Oper. Res..
[17] Yafei Lu. A Golden Section approach to optimization of automotive friction materials , 2003 .
[18] Francisco Herrera,et al. Iterative hybridization of DE with local search for the CEC'2015 special session on large scale global optimization , 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).
[19] James Smith,et al. A tutorial for competent memetic algorithms: model, taxonomy, and design issues , 2005, IEEE Transactions on Evolutionary Computation.
[20] Antonio LaTorre,et al. Large scale global optimization: Experimental results with MOS-based hybrid algorithms , 2013, 2013 IEEE Congress on Evolutionary Computation.
[21] Ali Wagdy Mohamed,et al. Solving large-scale global optimization problems using enhanced adaptive differential evolution algorithm , 2017 .
[22] Javad Alikhani Koupaei,et al. A new optimization algorithm based on chaotic maps and golden section search method , 2016, Eng. Appl. Artif. Intell..
[23] Antonio LaTorre,et al. Multiple Offspring Sampling in Large Scale Global Optimization , 2012, 2012 IEEE Congress on Evolutionary Computation.
[24] Erik Valdemar Cuevas Jiménez,et al. A selection method for evolutionary algorithms based on the Golden Section , 2018, Expert Syst. Appl..
[25] Krishnendra Shekhawat,et al. Why golden rectangle is used so often by architects: A mathematical approach , 2015 .
[26] Fuzheng Zhang. High-accuracy method for calculating correlated color temperature with a lookup table based on golden section search , 2019, Optik.
[27] Loai M. Dabbour,et al. Geometric proportions: The underlying structure of design process for Islamic geometric patterns , 2012 .
[28] Timothy A. Davis,et al. The university of Florida sparse matrix collection , 2011, TOMS.
[29] Francisco Herrera,et al. A coral reefs optimization algorithm with substrate layers and local search for large scale global optimization , 2016, 2016 IEEE Congress on Evolutionary Computation (CEC).
[30] Apinan Aurasopon. An improved local search involving bee colony optimization using lambda iteration combined with a golden section search method to solve an economic dispatch problem , 2019 .
[31] Chun Chen,et al. Multiple trajectory search for Large Scale Global Optimization , 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).
[32] Constantin Ciucurel,et al. ECG response to submaximal exercise from the perspective of Golden Ratio harmonic rhythm , 2018, Biomed. Signal Process. Control..
[33] Yuping Wang,et al. Variable grouping based differential evolution using an auxiliary function for large scale global optimization , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).
[34] Xiaodong Li,et al. DG2: A Faster and More Accurate Differential Grouping for Large-Scale Black-Box Optimization , 2017, IEEE Transactions on Evolutionary Computation.
[35] Ville Tirronen,et al. Scale factor local search in differential evolution , 2009, Memetic Comput..
[36] Francisco Herrera,et al. SHADE with Iterative Local Search for Large-Scale Global Optimization , 2018, 2018 IEEE Congress on Evolutionary Computation (CEC).
[37] Ali Wagdy Mohamed,et al. Differential Evolution with Novel Mutation and Adaptive Crossover Strategies for Solving Large Scale Global Optimization Problems , 2017, Appl. Comput. Intell. Soft Comput..
[38] G. M. Souza,et al. The Golden Section and beauty in nature: The perfection of symmetry and the charm of asymmetry. , 2019, Progress in biophysics and molecular biology.
[39] Harish Sharma,et al. Memetic search in artificial bee colony algorithm , 2013, Soft Computing.
[40] Marjan Mernik,et al. Exploration and exploitation in evolutionary algorithms: A survey , 2013, CSUR.
[41] M. Livio. The Golden Ratio: The Story of Phi, the World's Most Astonishing Number , 2002 .
[42] Sandeep Kumar,et al. Memetic Search in Differential Evolution Algorithm , 2014, ArXiv.