Spatial transcriptomic analysis of 4NQO-induced tongue cancer revealed cellular lineage diversity and evolutionary trajectory by Feng Liu, Feng Liu, Xiaojun Wu, Shaoqing Yu, Deqiang Cheng, Jun Pan, Xiaodong Wang, Guanzhen Yu, Guanzhen Yu, Chaofu Li

“…Both methods successfully distinguished subtle muscle phenotype and genetic lineage variations induced by 4NQO, despite limited morphological differences. Evolutionary tree analysis revealed the dynamic appearance and disappearance of functionally and genetically diverse cell subgroups during the progression from epithelial dysplasia to in situ carcinoma and invasive cancer. …”
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Combining Parallel Stochastic Methods and Mixed Termination Rules in Optimization by Vasileios Charilogis, Ioannis G. Tsoulos, Anna Maria Gianni

“…In this study, a combination of termination criteria is proposed, utilizing three different criteria to end the algorithmic process. …”
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A distribution-guided Mapper algorithm by Yuyang Tao, Shufei Ge

“…We also apply the D-Mapper to a SARS-COV-2 coronavirus RNA sequence dataset to explore the topological structure of different virus variants. The results indicate that the D-Mapper algorithm can reveal both the vertical and horizontal evolutionary processes of the viruses. …”
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GP4ESP: a hybrid genetic algorithm and particle swarm optimization algorithm for edge server placement by Fang Han, Hui Fu, Bo Wang, Yaoli Xu, Bin Lv

“…Due to NP-hardness of ESP, some works have designed meta-heuristic algorithms for solving it. While these algorithms either exploited only one kind of meta-heuristic search strategies or separately perform two different meta-heuristic algorithms. …”
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Optimizing the safety-efficiency trade-off on nationwide air traffic network flow using cooperative co-evolutionary paradigm by Mingming Xiao, Chen Hong, Kaiquan Cai

“…And then, the corresponding 3 sub-populations are co-evolved based on a Cooperative Co-evolution (CC) paradigm. Four different-scale ATNFO problems are solved with H-COEA and the state-of-the-art multi-objective evolutionary algorithms. …”
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Evolutionary and expression analysis of sugar transporters from Tartary buckwheat revealed the potential function of FtERD23 in drought stress by Dili Lai, Md. Nurul Huda, Yawen Xiao, Tanzim Jahan, Wei Li, Yuqi He, Kaixuan Zhang, Jianping Cheng, Jingjun Ruan, Meiliang Zhou

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Design of Laboratory Algorithm Model for Grid Backbone by HUANG Xiao-ming, CHE Jian-tao, FAN Bing, LI Xin-qi

“…The transmission network is the core of the power network and plays an important role in the power network planning and defense. According to different node weights and elements of the transmission network, different algorithm models can be used to conduct in-depth research on specific problems. …”
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MKD-Net: A Novel Neuro Evolutionary Approach for Blockchain-Based Secure Medical Image Classification Using Multi-Kernel DLM by Virendra P. Vishwakarma, Abhay Kumar Yadav

“…Owing to advancements in the domain of nature-inspired optimization and human brain simulations, this paper presents a novel approach to a neuro-evolutionary algorithm for medical image classification. …”
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A Novel Detection-and-Replacement-Based Order-Operator for Differential Evolution in Solving Complex Bound Constrained Optimization Problems by Sichen Tao, Sicheng Liu, Shoya Ohta, Ruihan Zhao, Zheng Tang, Yifei Yang

“…The design of differential evolution (DE) operators has long been a key topic in the research of metaheuristic algorithms. This paper systematically reviews the functional differences between mechanism improvements and operator improvements in terms of exploration and exploitation capabilities, based on the general patterns of algorithm enhancements. …”
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Real Power Loss Reduction by Enhanced RBS Algorithm by Kanagasabai L.

“…RBS algorithm is designed on the copulate actions of RBS. …”
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A multitasking ant system for multi-depot pick-up and delivery location routing problem with time window by Haoyuan Lv, Ruochen Liu, Jianxia Li

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A multi-task genetic programming approach for online multi-objective container placement in heterogeneous cluster by Ruochen Liu, Haoyuan Lv, Ping Yang, Rongfang Wang

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Optimal tuning of multi-PID controller using improved CMOCSO algorithm by Ying Hu, Xiongyan Liu, Hao Chen

“…Subsequently, an improved CMOCSO algorithm is introduced, which bifurcates the evolutionary process into two distinct stages using a central point-moving strategy; each stage employs different evolutionary techniques to accelerate convergence rates, and a novel grouping strategy is implemented to increase the learning efficiency of the population. …”
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Multiple Input Delays Estimation Using an Artificial Bee Colony Algorithm by Wei-Der Chang

“…To estimate the input delays, a new evolutionary computation called the artificial bee colony (ABC) algorithm is utilized. …”
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Multi-Objective Portfolio Optimization Strategy Using the SPEA-II Algorithm by Alireza Azarberahman, Malihe Tohidinia, Hossein Aliakbarzadeh

“…This study explores the application of intelligent algorithms, particularly the multi-objective of Strength Pareto Evolutionary Algorithm II (SPEA-II), alongside traditional methods to determine optimal portfolios. …”
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Hierarchical Artificial Bee Colony Algorithm for RFID Network Planning Optimization by Lianbo Ma, Hanning Chen, Kunyuan Hu, Yunlong Zhu

“…The results demonstrate that the proposed HABC obtains remarkable performance on most chosen benchmark functions when compared to several successful swarm intelligence and evolutionary algorithms. Then HABC is used for solving the real-world RNP problem on two instances with different scales. …”
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Application of Immune Complement Algorithm to NSL-KDD Intrusion Detection Dataset by Mafaz Khalil Alanezi, Najlaa Aldabagh

“…<span>Many real world problems involve the simultaneous optimization of various and often conflicting objectives. Evolutionary algorithms seem to be the most attractive approaches for this class of problems, because they are usually population based techniques that can find multiple compromise solution in a single run, and they do not require any hypotheses on the objective functions. …”
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Base Station Placement Algorithm for Large-Scale LTE Heterogeneous Networks. by Seungseob Lee, SuKyoung Lee, Kyungsoo Kim, Yoon Hyuk Kim

“…Therefore, in this paper, we aim to derive an optimum network planning algorithm for large-scale LTE HetNets. Recently, attempts have been made to apply evolutionary algorithms (EAs) to the field of radio network planning, since they are characterized as global optimization methods. …”
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Explorative Binary Gray Wolf Optimizer with Quadratic Interpolation for Feature Selection by Yijie Zhang, Yuhang Cai

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Towards a comprehensive view of the pocketome universe-biological implications and algorithmic challenges. by Hanne Zillmer, Dirk Walther

“…., the pocketomes, of eleven species from different kingdoms of life to discern evolutionary trends as well as to arrive at a global cross-species view of the pocketome universe. …”
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