Soft Computing Techniques for Dependable Cyber-Physical Systems by Muhammad Atif, Siddique Latif, Rizwan Ahmad, Adnan K. Kiani, Junaid Qadir, Adeel Baig, Hisao Ishibuchi, Waseem Abbas

“…In this regard, soft computing is an emerging paradigm that can help to manage the unreliability of CPS by using techniques, including fuzzy systems, neural networks, evolutionary computation, probabilistic reasoning, and rough sets. …”
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Decomposition Is All You Need: Single-Objective to Multi-Objective Optimization towards Artificial General Intelligence by Wendi Xu, Xianpeng Wang, Qingxin Guo, Xiangman Song, Ren Zhao, Guodong Zhao, Dakuo He, Te Xu, Ming Zhang, Yang Yang

“…Extensive experimental studies and theoretical results on benchmarks (1) emphasize our decomposition root in mathematical programming, such as Lagrangian relaxation and column generation; (2) provide two “where to go” strategies for both SMO and ETO; and (3) contribute to the mission of building safe and beneficial artificial general intelligence for manufacturing via evolutionary computation.…”
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A Hybrid Extreme Gradient Boosting and Long Short-Term Memory Algorithm for Cyber Threats Detection by Reham Amin, Ghada El-Taweel, Ahmed Fouad Ali, Mohamed Tahoun

“…A comparative analysis is conducted between the computational performance of six established evolutionary computation algorithms and the recently developed bio-inspired metaheuristic algorithm called Zebra Optimisation Algorithm. …”
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Single- and Multi-Objective Modified Aquila Optimizer for Optimal Multiple Renewable Energy Resources in Distribution Network by Mohammed Hamouda Ali, Ahmed Tijani Salawudeen, Salah Kamel, Habeeb Bello Salau, Monier Habil, Mokhtar Shouran

“…To demonstrate the effectiveness of the MAO, the authors first test the algorithm performance on twenty-three competitions on evolutionary computation benchmark functions, considering different dimensions. …”
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Hybrid Sine Cosine and Fitness Dependent Optimizer for Global Optimization by Po Chan Chiu, Ali Selamat, Ondrej Krejcar, King Kuok 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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REVISIÓN SOBRE ALGORITMOS DE OPTIMIZACIÓN MULTI-OBJETIVO GENÉTICOS Y BASADOS EN ENJAMBRES DE PARTÍCULAS by Joaquín Javier Meza Álvarez, Juan Manuel Cueva Lovelle, Helbert Eduardo Espitia

“…</p><p><em>Keywords</em>: evolutionary computation, evolutionary multi-objective optimization.…”
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Multiobjective multifactorial optimization in evolutionary multitasking by Gupta, Abhishek, Ong, Yew-Soon, Feng, Liang, Tan, Kay Chen

“…In recent decades, the field of multiobjective optimization has attracted considerable interest among evolutionary computation researchers. One of the main features that makes evolutionary methods particularly appealing for multiobjective problems is the implicit parallelism offered by a population, which enables simultaneous convergence toward the entire Pareto front. …”
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An adaptive differential evolution algorithm with novel mutation and crossover strategies for global numerical optimization by Suganthan, P. N., Ghosh, Saurav, Roy, Subhrajit, Islam, Sk. Minhazul, Das, Swagatam

“…A DE variant obtained by integrating the proposed mutation, crossover, and parameter adaptation strategies with the classical DE framework (developed in 1995) is compared with two classical and four state-of-the-art adaptive DE variants over 25 standard numerical benchmarks taken from the IEEE Congress on Evolutionary Computation 2005 competition and special session on real parameter optimization. …”
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A weighted-sum chaotic sparrow search algorithm for interdisciplinary feature selection and data classification by LiYun Jia, Tao Wang, Ahmed G. Gad, Ahmed Salem

“…Extensive comparisons show CSSA to be superior in terms of swarm diversity and convergence speed in solving various representative functions from the Institute of Electrical and Electronics Engineers (IEEE) Congress on Evolutionary Computation (CEC) benchmark set. Furthermore, experimental analysis of CSSA on eighteen interdisciplinary, multi-scale ML datasets from the University of California Irvine (UCI) data repository, as well as three high-dimensional microarray datasets, demonstrates that CSSA outperforms twelve state-of-the-art algorithms in a classification task based on FS discipline. …”
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A Two-Step Ensemble-Based Genetic Algorithm for Land Cover Classification by Yang Cao, Wei Feng, Yinghui Quan, Wenxing Bao, Gabriel Dauphin, Yijia Song, Aifeng Ren, Mengdao Xing

“…The first ensemble framework uses fuzzy c-means to classify pixels into those that are difficult to cluster and those that are easy to cluster, which aids in reducing the search space for evolutionary computation. The second ensemble framework uses neighborhood windows as heuristic information to adaptively modify the objective function and mutation probability of the GA, which brings valuable benefits to the discrimination and decision of GA. …”
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Enhanced Chameleon Swarm Algorithms for Nested Identical Control of Load Frequency in Autonomous Microgrid by Ahmed T. Salawudeen, Marc Moritz, Ilka Jahn, Obari Johnson, Antonello Monti

“…We evaluated the efficiency of these variants against the original CSA and five other highly performing algorithms on the IEEE Congress on Evolutionary Computation benchmark functions. whiteSubsequently, we employed the new CSA variants to design a NIC for load frequency control of a two-area microgrid system, considering different cases of uncertainties. …”
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An Improved Genetic Algorithm with a New Initialization Mechanism Based on Regression Techniques by Ahmad B. Hassanat, V. B. Surya Prasath, Mohammed Ali Abbadi, Salam Amer Abu-Qdari, Hossam Faris

“…Genetic algorithm (GA) is one of the well-known techniques from the area of evolutionary computation that plays a significant role in obtaining meaningful solutions to complex problems with large search space. …”
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IMPLEMENTASI PENGEMBANGAN METODE DIFFERENTIAL EVOLUTIONUNTUK CLUSTERING PIXEL by Ahmad Saikhu, Hisyam Fahmi

“…Sejumlah algoritma termasuk dalam rumpun Evolutionary Computation, diantaranya adalah Differential Evolution (DE) yang berhasil menyelesaikan masalah optimasi dalam berbagai bidang diantaranya masalah clustering. …”
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Dynamical Sphere Regrouping Particle Swarm Optimization: A Proposed Algorithm for Dealing with PSO Premature Convergence in Large-Scale Global Optimization by Martín Montes Rivera, Carlos Guerrero-Mendez, Daniela Lopez-Betancur, Tonatiuh Saucedo-Anaya

“…We evaluated DSRegPSO by testing 15 optimizing functions with up to 1000 dimensions of the CEC’13 benchmark, a standard for evaluating Large-Scale Global Optimization used in Congress on Evolutionary Computation, and several journals. Our proposal improves the behavior of all variants of PSO registered in the toolkit of comparison for CEC’13 and obtains the best result in the non-separable functions against all the algorithms.…”
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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, Alam, Sameer, Barlow, Michael

“…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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A modified flower pollination algorithm and carnivorous plant algorithm for solving engineering optimization problem by Ong, Kok Meng

“…Both MFPA and CPA were first evaluated using twenty-five well-known benchmark functions with different characteristics and seven Congress on Evolutionary Computation (CEC) 2017 test functions. Their convergence characteristic and computational efficiency were analysed and compared with eight widely used metaheuristic algorithms, with the superiority validated using the Wilcoxon signed-rank test. …”
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Hybrid Feature-Learning-Based PSO-PCA Feature Engineering Approach for Blood Cancer Classification by Ghada Atteia, Rana Alnashwan, Malak Hassan

“…Other feature selection approaches utilize evolutionary computation (EC) to search the feature space and localize optimal features. …”
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Red-tailed hawk algorithm for numerical optimization and real-world problems by Seydali Ferahtia, Azeddine Houari, Hegazy Rezk, Ali Djerioui, Mohamed Machmoum, Saad Motahhir, Mourad Ait-Ahmed

“…The first class includes three specific kinds of optimization problems: 22 standard benchmark functions, including unimodal, multimodal, and fixed-dimensional multimodal functions, IEEE Congress on Evolutionary Computation 2020 (CEC2020), and IEEE CEC2022. …”
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A Novel Approach Combining Particle Swarm Optimization and Deep Learning for Flash Flood Detection from Satellite Images by Do Ngoc Tuyen, Tran Manh Tuan, Le Hoang Son, Tran Thi Ngan, Nguyen Long Giang, Pham Huy Thong, Vu Van Hieu, Vassilis C. Gerogiannis, Dimitrios Tzimos, Andreas Kanavos

“…Since the original UNET has a symmetrical architecture, the evolutionary computation is performed by paying attention to the contracting path and the expanding path is synchronized with the following layers in the contracting path. …”
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HGSOXGB: Hunger-Games-Search-Optimization-Based Framework to Predict the Need for ICU Admission for COVID-19 Patients Using eXtreme Gradient Boosting by Farhana Tazmim Pinki, Md Abdul Awal, Khondoker Mirazul Mumenin, Md. Shahadat Hossain, Jabed Al Faysal, Rajib Rana, Latifah Almuqren, Amel Ksibi, Md Abdus Samad

“…To evaluate the efficacy of the MH-based HGSO algorithm, the proposed method was compared with the original HGSO algorithm using the Congress on Evolutionary Computation benchmark function. The analysis revealed that the proposed algorithm converges better than the original method and exhibits statistical significance. …”
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