Bare bones particle swarm optimization with adaptive chaotic jump for feature selection in classification by Chenye Qiu

“…The proposed BBPSO-ACJ is compared with eight evolutionary computation (EC) based wrapper methods and two filter methods on nine benchmark datasets with different number of dimensions and instances. …”
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A Prediction Model for the Calculation of Effective Stiffness Ratios of Reinforced Concrete Columns by Sourav Das, Iman Mansouri, Satyabrata Choudhury, Amir H. Gandomi, Jong Wan Hu

“…In this study, an evolutionary computation method called gene expression programming (GEP) was used to predict the effective stiffness ratios of RC columns. …”
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Shuffled Frog-Leaping Programming for Solving Regression Problems by M. Abdollahi, M. Aliyari Shoorehdeli

“…There are various automatic programming models inspired by evolutionary computation techniques. Due to the importance of devising an automatic mechanism to explore the complicated search space of mathematical problems where numerical methods fails, evolutionary computations are widely studied and applied to solve real world problems. …”
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Application and comparison of NSGA-II and MOPSO in multi-objective optimization of water resources systems by Hojjati Ali, Monadi Mohsen, Faridhosseini Alireza, Mohammadi Mirali

“…Many optimization methods have been applied based on mathematical programming and evolutionary computation (especially heuristic methods) with various degrees of success more recently. …”
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Path planning optimization of six-degree-of-freedom robotic manipulators using evolutionary algorithms by Sandi Baressi Šegota, Nikola Anđelić, Ivan Lorencin, Milan Saga, Zlatan Car

“…This article proposes the use of evolutionary computation algorithms for optimizing the paths of the robotic manipulator with the goal of lowering the joint torques. …”
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Multi-Objective Optimization Benchmarking Using DSCTool by Peter Korošec, Tome Eftimov

“…Its usage and the influence of a proper statistical analysis is shown using data taken from a benchmarking study performed at the 2018 IEEE CEC (The IEEE Congress on Evolutionary Computation) is appropriate. Competition on Evolutionary Many-Objective Optimization.…”
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Generalized Type-2 Fuzzy Parameter Adaptation in the Marine Predator Algorithm for Fuzzy Controller Parameterization in Mobile Robots by Felizardo Cuevas, Oscar Castillo, Prometeo Cortés-Antonio

“…The FMPA with generalized type-2 and interval type-2 parameter adaptations was applied to a group of benchmark functions introduced in the competition on evolutionary computation (CEC2017); the results show that generalized FMPA provides better solutions. …”
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The fusion–fission optimization (FuFiO) algorithm by Behnaz Nouhi, Nima Darabai, Pooya Sareh, Hadi Bayazidi, Farhad Darabi, Siamak Talatahari

“…Furthermore, as some highly-complicated problems, the test functions of two recent Competitions on Evolutionary Computation, namely CEC-2017 and CEC-2019, are solved and analyzed. …”
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Evolutionary Black-box Topology Optimization: Challenges and Promises by Guirguis, David, Aulig, Nikola, Picelli, Renato, Zhu, Bo, Zhou, Yuqing, Vicente, William, Iorio, Francesco, Olhofer, Markus, Matusiks, Wojciech, Coello Coello, Carlos Artemio, Saitou, Kazuhiro

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Multi agent simulation of artificial foreign exchange market by Maria Myrna Handoko.

“…The simulation model is constructed and presented using Java-Agent Development (JADE) framework in collaboration with Evolutionary Computation Java-based (ECJ) library to accommodate the interaction of agents’ learning behavior with genetic algorithms. …”
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Niching particle swarm optimization with local search for multi-modal optimization by Qu, B. Y., Liang, J. J., Suganthan, P. N.

“…Multimodal optimization is still one of the most challenging tasks for evolutionary computation. In recent years, many evolutionary multi-modal optimization algorithms have been developed. …”
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Real-coded genetic algorithm for parametric modelling of a TRMS by Toha, Siti Fauziah, Tokhi, Mohammad Osman

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Design of digital circuit structure based on evolutionary algorithm method by Chong, Kok Hen, Aris, Ishak, Bashi, Senan Mahmood, Koh, Johnny Siaw Paw

“…Evolutionary Algorithms (EAs) cover all the applications involving the use of Evolutionary Computation in electronic system design. It is largely applied to complex optimization problems. …”
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Improving the accuracy of AIRS by incorporating real world tournament selection in resource competition phase by Hormozi, Shahram Golzari, C. Doraisamy, Shyamala, Sulaiman, Md. Nasir, Udzir, Nur Izura

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Perturbative methods for maximum power point tracking (MPPT) of photovoltaic (PV) systems: a review by Tajuddin, M. F. N., Arif, M. S., Ayob, S. M., Salam, Z.

“…The focus of this review is to direct the readers to the new direction of MPPT using the artificial intelligence and evolutionary computation techniques. Besides serving as a comprehensive source of information, the paper also provides a critical review on the relative performance of the selected MPPT methods. …”

Optimal placement of static VAR compensator using genetic algorithms by Mustafa, Mohd. Wazir, Wong, Yan Chiew

“…Genetic Algorithms (GAs) are stochastic searching algorithms that make the searching process jumps randomly from point to point, thus allowing escape from the local optimum, and search for many sub-optimum points in parallel.This paper presents an evolutionary computation algorithm for enhancing voltage stability. …”
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CHEMICAL SCIENCE AND ENGINEERING TECHNOLOGY : Perspectives on Interdisciplinary Research / by Balks̲e, Devrim, editor, Ribeiro, Ana Cristina Faria, editor, Haghi, A. K.,, editor, Ameta, Suresh C., editor, Chakraborty, Tanmoy, editor

A Modified Group Teaching Optimization Algorithm for Solving Constrained Engineering Optimization Problems by Honghua Rao, Heming Jia, Di Wu, Changsheng Wen, Shanglong Li, Qingxin Liu, Laith Abualigah

“…In order to verify the optimization effect of MGTOA, 23 standard benchmark functions and 30 test functions of IEEE Evolutionary Computation 2014 (CEC2014) are adopted to verify the performance of the proposed MGTOA. …”
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A Self-Adaptive Fireworks Algorithm for Classification Problems by Yu Xue, Binping Zhao, Tinghuai Ma, Wei Pang

“…This optimization classification model can be solved by most evolutionary computation techniques. In this paper, a self-adaptive FWA (SaFWA) is developed so that the optimization classification model can be solved efficiently. …”
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Transient stability based dynamic security assessment indices by Waheed Ayinla Oyekanmi, Ghadir Radman, Titus Oluwasuji Ajewole

“…Some methods are based on evolutionary computation which comes with a lot of drawbacks as there is no guarantee of finding optimal solutions within a finite time and parameter tuning are mostly by trial-and-error. …”
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