An Efficient Optimal CapsNet Model-Based Computer-Aided Diagnosis for Gastrointestinal Cancer Classification by Fahdah A Almarshad, Prasanalakshmi Balaji, Liyakathunisa Syed, Eman Aljohani, Santhi Muttipoll Dharmarajlu, Thavavel Vaiyapuri, Nourah Ali AlAseem

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Efficient cluster center optimization: A novel hybrid metaheuristic by Saeideh Barkhordari Firozabadi, Seyed Abolfazl Shahzadeh Fazeli, Jamal Zarepour Ahmadabadi, Seyed Mehdi Karbassi

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Optimal Frequency of Stiffened Piezolaminated Composite Plates Implementing a Hybrid Special Relativity Search and Hill Climbing Optimization Algorithm by Vahid Goodarzimehr, Umut Topal, Mehdi Bohlooly Fotovat

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Optimal Reactive Power Flow for Large-Scale Power Systems Using an Effective Metaheuristic Algorithm by Thanh Long Duong, Minh Quan Duong, Van-Duc Phan, Thang Trung Nguyen

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RBI: a novel algorithm for regulatory-metabolic network model in designing the optimal mutant strain by Ridho Ananda, Kauthar Mohd Daud, Suhaila Zainudin

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Application of Hybrid MOPSO Algorithm to Optimal Reactive Power Dispatch Problem Considering Voltage Stability by Yujiao Zeng, Yanguang Sun

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Dynamic priority-based task scheduling and adaptive resource allocation algorithms for efficient edge computing in healthcare systems by J. Anand, B. Karthikeyan

“…The Internet of Things (IoT) has revolutionized healthcare by interconnecting a wide range of devices over the Internet. Cloud computing has traditionally fulfilled the computational demands of these IoT devices, enabling the collection and analysis of data from healthcare environments. …”
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Design of Simulation Program for Analysis of Shortest Path Algorithms in Grid-Based Path Planning by İbrahim Şanlialp, İbrahim Yandı

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What Business Managers Should Know About Quantum Computing? by Kelvin Leong, Anna Sung

“…In this study, we began with analyzing quantum related investment markets, trends in scholarly publication and keyword search on the internet about quantum computing. In addition, we provided an introduction on what is quantum computing and discussed related quantum algorithms. …”
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Task distribution offloading algorithm of vehicle edge network based on DQN by Haitao ZHAO, Tangwei ZHANG, Yue CHEN, Houlin ZHAO, Hongbo ZHU

“…In order to achieve the best balance between latency,computational rate and energy consumption,for a edge access network of IoV,a distribution offloading algorithm based on deep Q network (DQN) was considered.Firstly,these tasks of different vehicles were prioritized according to the analytic hierarchy process (AHP),so as to give different weights to the task processing rate to establish a relationship model.Secondly,by introducing edge computing based on DQN,the task offloading model was established by making weighted sum of task processing rate as optimization goal,which realized the long-term utility of strategies for offloading decisions.The performance evaluation results show that,compared with the Q-learning algorithm,the average task processing delay of the proposed method can effectively improve the task offload efficiency.…”
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Application of Simulated Annealing Algorithm in the Construction of Online Examination System for Tax Law Courses by da Pan

“…Experimental results demonstrate that SA achieves superior performance compared to genetic algorithms (GA), greedy approaches, ant colony optimization (ACO), and particle swarm optimization (PSO). …”
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P. I. E. N. O.–Petrol-Filling Itinerary Estimation aNd Optimization by Marco Savarese, Antonio de Blasi, Carmine Zaccagnino, Carlo Augusto Grazia

“…Different domains are stressed to reach the goal: microcontroller and OEM to retrieve the fuel level from the car, national authorities to retrieve the daily fuel price, AI models to predict the price trend for the next days, and algorithms to compute the best fuel station and the best time to fill. …”
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Meta-heuristics meet sports: a systematic review from the viewpoint of nature inspired algorithms by Ariyaratne M.K.A., Silva R.M.

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Identifying Optimal Spatial Groups for Maximum Coverage in Ubiquitous Sensor Network by Using Clustering Algorithms by Simon Fong, Weng Fai Ip, Elaine Liu, Kyungeun Cho

“…This paper explores this problem via optimal “spatial groups” clustering. Simulation experiments by using clustering algorithms and linear programming are to be conducted, for evaluating their effectiveness comparatively.…”
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Fuzzy Guiding of Roulette Selection in Evolutionary Algorithms by Krzysztof Pytel

“…The algorithm can be an effective tool in solving a wide range of optimization problems, for example, optimization of computer network infrastructure.…”
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A New Approach to Topology Optimization with Genetic Algorithm and Parameterization Level Set Function by Igor Pehnec, Damir Sedlar, Ivo Marinic-Kragic, Damir Vučina

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Simultaneous Multi-Objective and Topology Optimization: Effect of Mesh Refinement and Number of Iterations on Computational Cost by Daniel Miler, Matija Hoić, Rudolf Tomić, Andrej Jokić, Robert Mašović

“…Due to repeated topology optimization calls within the genetic algorithm, the computational cost is significant. …”
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Real-World Applications of Metaheuristic Algorithms: A Comprehensive Review of the State-of-the-Art by Dler O. Hasan, Aso Aladdin

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Research on multi-UAV energy consumption optimization algorithm for cellular-connected network by Jingming XIA, Yufeng LIU, Ling TAN

“…In complex time-varying environment, the ground base station (GBS) may not assist the UAV.Therefore, a mobile edge computing (MEC) cellular-connected network based on digital twin (DT) technology was studied.Given the efficiency of multi-UAV, multiple high-altitude balloon (HAB) equipped with MEC servers were introduced.On this basis, an energy minimization problem for all UAV was proposed, and a multi-UAV trajectory optimization and resource allocation scheme was presented to solve it.The double deep Q-network (DDQN) was applied to handle the association between multi-UAV and multi-HAB, and the multi-UAV trajectory and computing resource allocation were jointly optimized by the successive convex approximation (SCA) and the block coordinate descent (BCD).Simulation experiments verify the feasibility and effectiveness of the proposed algorithm.The system energy consumption is reduced by 30%, better than the comparison algorithms.…”
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Enhanced CO₂ Emissions Prediction Using Temporal Fusion Transformer Optimized by Football Optimization Algorithm by Amel Ali Alhussan, Marwa Metwally

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