A novel enhanced whale optimization algorithm for global optimization

[1]  Sushmita Sharma,et al.  A novel improved symbiotic organisms search algorithm , 2020, Comput. Intell..

[2]  Huiling Chen,et al.  An efficient double adaptive random spare reinforced whale optimization algorithm , 2020, Expert Syst. Appl..

[3]  Guohua Wu,et al.  A test-suite of non-convex constrained optimization problems from the real-world and some baseline results , 2020, Swarm Evol. Comput..

[4]  Mushtaq Raza,et al.  An n-state switching PSO algorithm for scalable optimization , 2020, Soft Computing.

[5]  Trung Nguyen-Thoi,et al.  A FE model updating technique based on SAP2000-OAPI and enhanced SOS algorithm for damage assessment of full-scale structures , 2020, Appl. Soft Comput..

[6]  Seyedali Mirjalili,et al.  Equilibrium optimizer: A novel optimization algorithm , 2020, Knowl. Based Syst..

[7]  Gobalakrishnan Natesan,et al.  Multi-Objective Task Scheduling Using Hybrid Whale Genetic Optimization Algorithm in Heterogeneous Computing Environment , 2020, Wirel. Pers. Commun..

[8]  Jun Xi,et al.  A hybrid algorithm based on cuckoo search and differential evolution for numerical optimization , 2020 .

[9]  Wenhao Lai,et al.  Data Prediction of Mobile Network Traffic in Public Scenes by SOS-vSVR Method , 2020, Sensors.

[10]  Emre Çelik,et al.  A powerful variant of symbiotic organisms search algorithm for global optimization , 2020, Eng. Appl. Artif. Intell..

[11]  Sushmita Sharma,et al.  m-MBOA: a novel butterfly optimization algorithm enhanced with mutualism scheme , 2019, Soft Comput..

[12]  Sanyang Liu,et al.  An enhanced symbiotic organisms search algorithm with perturbed global crossover operator for global optimization , 2020, J. Intell. Fuzzy Syst..

[13]  Hammoudi Abderazek,et al.  A Comparative Study of Recent Non-traditional Methods for Mechanical Design Optimization , 2019, Archives of Computational Methods in Engineering.

[14]  Yongjun Sun,et al.  A whale optimization algorithm based on quadratic interpolation for high-dimensional global optimization problems , 2019, Appl. Soft Comput..

[15]  Gang Yao,et al.  Modified Search Strategies Assisted Crossover Whale Optimization Algorithm with Selection Operator for Parameter Extraction of Solar Photovoltaic Models , 2019, Remote. Sens..

[16]  Ali R. Yildiz,et al.  A novel hybrid whale–Nelder–Mead algorithm for optimization of design and manufacturing problems , 2019, The International Journal of Advanced Manufacturing Technology.

[17]  Shengxiang Yang,et al.  An improved particle swarm optimization algorithm for dynamic job shop scheduling problems with random job arrivals , 2019, Swarm Evol. Comput..

[18]  Provas Kumar Roy,et al.  Oppositional symbiotic organisms search optimization for multilevel thresholding of color image , 2019, Appl. Soft Comput..

[19]  Xuehua Zhao,et al.  A balanced whale optimization algorithm for constrained engineering design problems , 2019, Applied Mathematical Modelling.

[20]  Sriparna Saha,et al.  New Improved SALSHADE-cnEpSin Algorithm with Adaptive Parameters , 2019, 2019 IEEE Congress on Evolutionary Computation (CEC).

[21]  Ezugwu E. Absalom,et al.  Symbiotic organisms search algorithm: Theory, recent advances and applications , 2019, Expert Syst. Appl..

[22]  Tarik A. Rashid,et al.  A Systematic and Meta-Analysis Survey of Whale Optimization Algorithm , 2019, Comput. Intell. Neurosci..

[23]  Qiang Zhang,et al.  Whale Optimization Algorithm Based on Lamarckian Learning for Global Optimization Problems , 2019, IEEE Access.

[24]  Seyed Mostafa Bozorgi,et al.  IWOA: An improved whale optimization algorithm for optimization problems , 2019, J. Comput. Des. Eng..

[25]  Satvir Singh,et al.  Butterfly optimization algorithm: a novel approach for global optimization , 2018, Soft Computing.

[26]  Mostafa A. El-Hosseini,et al.  Biped robot stability based on an A-C parametric Whale Optimization Algorithm , 2019, J. Comput. Sci..

[27]  Vijander Singh,et al.  A novel nature-inspired algorithm for optimization: Squirrel search algorithm , 2019, Swarm Evol. Comput..

[28]  Sushmita Sharma,et al.  A Hybrid TLBO Algorithm by Quadratic Approximation for Function Optimization and Its Application , 2019 .

[29]  Siddhartha Bhattacharyya,et al.  S-shaped Binary Whale Optimization Algorithm for Feature Selection , 2019 .

[30]  Zhenxing Zhang,et al.  Atom search optimization and its application to solve a hydrogeologic parameter estimation problem , 2019, Knowl. Based Syst..

[31]  Jun Luo,et al.  A hybrid whale optimization algorithm based on modified differential evolution for global optimization problems , 2019, Applied Intelligence.

[32]  Wei Sun,et al.  Analysis and forecasting of the carbon price using multi—resolution singular value decomposition and extreme learning machine optimized by adaptive whale optimization algorithm , 2018, Applied Energy.

[33]  Sumit Kumar,et al.  Modified symbiotic organisms search for structural optimization , 2018, Engineering with Computers.

[34]  Z. ZamliKamal,et al.  Opposition-Based Whale Optimization Algorithm , 2018, Advanced Science Letters.

[35]  Anupam Yadav,et al.  A dynamic metaheuristic optimization model inspired by biological nervous systems: Neural network algorithm , 2018, Appl. Soft Comput..

[36]  Sankalap Arora,et al.  Chaotic whale optimization algorithm , 2018, J. Comput. Des. Eng..

[37]  Zhe Xu,et al.  A Novel Memetic Whale Optimization Algorithm for Optimization , 2018, ICSI.

[38]  Reza Tavakkoli-Moghaddam,et al.  The Social Engineering Optimizer (SEO) , 2018, Eng. Appl. Artif. Intell..

[39]  Narottam Jangir,et al.  Whale Optimization Algorithm for Constrained Economic Load Dispatch Problems—A Cost Optimization , 2018 .

[40]  Shengwu Xiong,et al.  Multi-objective Whale Optimization Algorithm for Multilevel Thresholding Segmentation , 2018 .

[41]  Sukanta Nama,et al.  An ensemble symbiosis organisms search algorithm and its application to real world problems , 2018 .

[42]  Diego Oliva,et al.  An improved Opposition-Based Sine Cosine Algorithm for global optimization , 2017, Expert Syst. Appl..

[43]  Jaehong Lee,et al.  A modified symbiotic organisms search (mSOS) algorithm for optimization of pin-jointed structures , 2017, Appl. Soft Comput..

[44]  Hossam Faris,et al.  Salp Swarm Algorithm: A bio-inspired optimizer for engineering design problems , 2017, Adv. Eng. Softw..

[45]  Chen-Yang Cheng,et al.  Particle swarm optimization with fitness adjustment parameters , 2017, Comput. Ind. Eng..

[46]  S. Phani Kumar,et al.  Multi Objective Task Scheduling Algorithm for Cloud Computing Using Whale Optimization Technique , 2017 .

[47]  Kedar Nath Das,et al.  A modified competitive swarm optimizer for large scale optimization problems , 2017, Appl. Soft Comput..

[48]  Sima Ghosh,et al.  A Hybrid Symbiosis Organisms Search algorithm and its application to real world problems , 2017, Memetic Comput..

[49]  Yongquan Zhou,et al.  Lévy Flight Trajectory-Based Whale Optimization Algorithm for Global Optimization , 2017, IEEE Access.

[50]  Sima Ghosh,et al.  Improved backtracking search algorithm for pseudo dynamic active earth pressure on retaining wall supporting c-Ф backfill , 2017, Appl. Soft Comput..

[51]  Trong-The Nguyen,et al.  A Multi-Objective Optimal Vehicle Fuel Consumption Based on Whale Optimization Algorithm , 2017 .

[52]  Ali Kaveh,et al.  A new metaheuristic for continuous structural optimization: water evaporation optimization , 2016 .

[53]  Andrew Lewis,et al.  The Whale Optimization Algorithm , 2016, Adv. Eng. Softw..

[54]  Seyedali Mirjalili,et al.  SCA: A Sine Cosine Algorithm for solving optimization problems , 2016, Knowl. Based Syst..

[55]  R. Rao.  Jaya: A simple and new optimization algorithm for solving constrained and unconstrained optimization problems , 2016 .

[56]  Seyed Mohammad Mirjalili,et al.  Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm , 2015, Knowl. Based Syst..

[57]  Yusep Rosmansyah,et al.  Implementation of dendritic cell algorithm as an anomaly detection method for port scanning attack , 2015, 2015 International Conference on Information Technology Systems and Innovation (ICITSI).

[58]  Min-Yuan Cheng,et al.  Symbiotic Organisms Search: A new metaheuristic optimization algorithm , 2014 .

[59]  Alex S. Fukunaga,et al.  Improving the search performance of SHADE using linear population size reduction , 2014, 2014 IEEE Congress on Evolutionary Computation (CEC).

[60]  Alex S. Fukunaga,et al.  Success-history based parameter adaptation for Differential Evolution , 2013, 2013 IEEE Congress on Evolutionary Computation.

[61]  Ardeshir Bahreininejad,et al.  Mine blast algorithm: A new population based algorithm for solving constrained engineering optimization problems , 2013, Appl. Soft Comput..

[62]  R. Venkata Rao,et al.  Teaching-learning-based optimization: A novel method for constrained mechanical design optimization problems , 2011, Comput. Aided Des..

[63]  M.M.A. Salama,et al.  Opposition-Based Differential Evolution , 2008, IEEE Transactions on Evolutionary Computation.

[64]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[65]  David H. Wolpert,et al.  No free lunch theorems for optimization , 1997, IEEE Trans. Evol. Comput..

[66]  Peter J. Angeline,et al.  Genetic programming: On the programming of computers by means of natural selection,: John R. Koza, A Bradford Book, MIT Press, Cambridge MA, 1992, ISBN 0-262-11170-5, xiv + 819pp., US$55.00 , 1994 .