RIS-Assisted Integrated Sensing and Communication Systems: Joint Reflection and Beamforming Design by Mohamed I. Ismail, Abdullah M. Shaheen, Mostafa M. Fouda, Ahmed S. Alwakeel

“…Moreover, the proposed EAEO is tested on the IEEE Congress on Evolutionary Computation 2017 (IEEE CEC’17) test suite. …”
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Getting Ahead of the Arms Race: Hothousing the Coevolution of VirusTotal with a Packer by Héctor D. Menéndez, David Clark, Earl T. Barr

“…Playing the role of a black hat, EEE uses evolutionary computation to disrupt the creation of malware signatures. …”
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A Genetic Programming-Based Low-Level Instructions Robot for Realtimebattle by Juan Romero, Antonino Santos, Adrian Carballal, Nereida Rodriguez-Fernandez, Iria Santos, Alvaro Torrente-Patiño, Juan Tuñas, Penousal Machado

“…To that end, we implemented an Evolutionary Computation technique: Genetic Programming. The robot controllers created in the course of the experiments exhibit several different and effective combat strategies such as avoidance, sniping, encircling and shooting. …”
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Improving Performance of Differential Evolution Using Multi-Population Ensemble Concept by Aadil Bashir, Qamar Abbas, Khalid Mahmood, Sultan Alfarhood, Mejdl Safran, Imran Ashraf

“…It is difficult in evolutionary computation algorithms to maintain population diversity. …”
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Adaptive mutation quantum-inspired squirrel search algorithm for global optimization problems by Yanan Zhang, Chunwu Wei, Juanjuan Zhao, Yan Qiang, Wei Wu, Zifan Hao

“…The efficiency of the proposed AM-QSSA is evaluated using exploitation analysis, exploration analysis, success rate analysis, convergence rate analysis on classical benchmark functions as well as Congress on Evolutionary Computation (CEC) 2017 test functions. For further study, AM-QSSA optimizes an image registration problem for an extensive study to check its applicability. …”
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Advances and Perspectives in Applying Deep Learning for Drug Design and Discovery by Celio F. Lipinski, Vinicius G. Maltarollo, Patricia R. Oliveira, Alberico B. F. da Silva, Kathia Maria Honorio, Kathia Maria Honorio

“…In addition, CI encompasses three main methodologies: neural networks (NN), fuzzy systems, and evolutionary computation. In particular, artificial neural networks have been successfully applied in medicinal chemistry studies. …”
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Multi-Objective Structural Optimization of a Composite Wind Turbine Blade Considering Natural Frequencies of Vibration and Global Stability by Lucas de Landa Couto, Nícolas Estanislau Moreira, Josué Yoshikazu de Oliveira Saito, Patricia Habib Hallak, Afonso Celso de Castro Lemonge

“…Among many multi-objective evolutionary algorithms available in the literature concerning evolutionary computation, the NSGA-II is the adopted evolutionary algorithm to solve the multi-objective optimization problems. …”
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A Weighted Chimp Optimization Algorithm by Mohammad Khishe, Mohsen Nezhadshahbodaghi, Mohammad Reza Mosavi, Diego Martin

“…Besides, the proposed algorithm is tested on the IEEE congress of evolutionary computation benchmark test functions. In order to shed more light on probing the performance of the weighted chimp optimization algorithm in large-scale numerical optimization and real-world problems, it is examined by 13 high-dimensional and ten real-world optimization problems. …”
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A Hybrid of Fully Informed Particle Swarm and Self-Adaptive Differential Evolution for Global Optimization by Shir Li Wang, Sarah Hazwani Adnan, Haidi Ibrahim, Theam Foo Ng, Parvathy Rajendran

“…Evolutionary computation algorithms (EC) and swarm intelligence have been widely used to solve global optimization problems. …”
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Self-Regulated Particle Swarm Multi-Task Optimization by Xiaolong Zheng, Deyun Zhou, Na Li, Tao Wu, Yu Lei, Jiao Shi

“…Evolutionary multi-task optimization (EMTO) studies the problem of utilizing the population-based characteristics of evolutionary computation techniques to optimize multiple optimization problems simultaneously, for the purpose of further improving the overall performance of resolving all these problems. …”
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Differential Evolution with Group-Based Competitive Control Parameter Setting for Numerical Optimization by Mengnan Tian, Yanghan Gao, Xingshi He, Qingqing Zhang, Yanhui Meng

“…Differential evolution (DE) is one of the most popular and widely used optimizers among the community of evolutionary computation. Despite numerous works having been conducted on the improvement of DE performance, there are still some defects, such as premature convergence and stagnation. …”
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Curbing negative influences online for seamless transfer evolutionary optimization by Da, Bingshui, Gupta, Abhishek, Ong, Yew-Soon

“…In light of the above, this paper introduces a novel evolutionary computation framework that enables online learning and exploitation of similarities across optimization problems, with the goal of achieving an algorithmic realization of the transfer optimization paradigm. …”
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Half a dozen real-world applications of evolutionary multitasking, and more by Gupta, Abhishek, Zhou, Lei, Ong, Yew-Soon, Chen, Zefeng, Hou, Yaqing

“…Until recently, the potential to transfer evolved skills across distinct optimization problem instances (or tasks) was seldom explored in evolutionary computation. The concept of evolutionary multitasking (EMT) fills this gap. …”
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Autonomous CNN (AutoCNN): a data-driven approach to network architecture determination by Aradhya, Abhay M S, Ashfahani, Andri, Angelina, Fienny, Pratama, Mahardhika, de Mello, Rodrigo Fernandes, Sundaram, Suresh

“…The data-driven network determination approach introduced in this paper was found to not only provides competitive performance similar to existing evolutionary computation based network determination algorithms in literature, but was found to be an effective optimization tool to improve the performance of existing CNN architectures. …”
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Multiobjective evolutionary algorithm with graphlet measure for detection of complex topological and biological community structure by Abduljabbar, Dhuha Abdulhadi

“…Detecting natural divisions in complex networks is proved to be an extremely Non-deterministic Polynomial-time hard (NP-hard) problem, which has been solved using evolutionary computation methods. Despite many efforts to design an effective community structure formula, the definition is still general, depending solely on the nodes' intra- and inter-connections. …”
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Spatial-planning-based ecosystem adaptation (spbea): a concept and modeling of prone shoreline retreat areas by Chiu, P. C., Selamat, A., Krejcar, O., Kuok, K. K.

“…This proposed algorithm, SC-FDO, has been tested over 19 classical and 10 IEEE Congress of Evolutionary Computation (CEC-C06 2019) benchmark test functions. …”
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Hybrid sine cosine and fitness dependent optimizer for global optimization by Chiu, Po Chan, Selamat, Ali, Krejcar, Ondrej, Kuok, King Kuok

“…This proposed algorithm, SC-FDO, has been tested over 19 classical and 10 IEEE Congress of Evolutionary Computation (CEC-C06 2019) benchmark test functions. …”
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Coevolution of Myoelectric Hand Control under the Tactile Interaction among Fingers and Objects by Yuki Kuroda, Yusuke Yamanoi, Shunta Togo, Yinlai Jiang, Hiroshi Yokoi

“…In addition, the agents were able to pick up the object in a similar posture regardless of the participant, suggesting that the hand was optimized by evolutionary computation to a posture that prevents the object from being dropped.…”
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A Cooperative Co-Evolutionary Optimisation Model for Best-Fit Aircraft Sequence and Feasible Runway Configuration in a Multi-Runway Airport by Md Shohel Ahmed, Sameer Alam, Michael Barlow

“…The results also demonstrate the viability of using evolutionary computation-based methods for modelling and evaluating complex problems in the air transport domain.…”
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Evaluation of the capacity of PET bottles, water aeration, and water recirculation to reduce evaporation in containers of water by Maritza Liliana Arganis Juárez, María Fernanda Hernández Ignacio, Sandra Lizbeth Rosales Silvestre, Javier Osnaya Romero, Eliseo Carrizosa Elizondo

“…The capacity of this method to diminish natural evaporation was compared to water aeration, water recirculation, and the control (without intervention). With evolutionary computation, including genetic algorithms and genetic programming, equations for calculating evaporation were developed based on meteorological factors. …”
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