A Meta Reinforcement Learning-Based Task Offloading Strategy for IoT Devices in an Edge Cloud Computing Environment by He Yang, Weichao Ding, Qi Min, Zhiming Dai, Qingchao Jiang, Chunhua Gu

“…Some of the reinforcement learning-based policies can improve the dependence of heuristic algorithms on models through continuous interactive exploration of the edge environment; however, when the environment changes, such reinforcement learning algorithms cannot adapt to the environment and need to spend time on retraining. …”
Get full text

From an Optimal Point to an Optimal Region: A Novel Methodology for Optimization of Multimodal Constrained Problems and a Novel Constrained Sliding Particle Swarm Optimization Stra... by Carine M. Rebello, Márcio A. F. Martins, José M. Loureiro, Alírio E. Rodrigues, Ana M. Ribeiro, Idelfonso B. R. Nogueira

“…There are two open issues in the optimization literature, uncertainty analysis of the deterministic optimization and application of meta-heuristic algorithms to solve multi-local minima problems. …”
Get full text

A Review of the Modification Strategies of the Nature Inspired Algorithms for Feature Selection Problem by Ruba Abu Khurma, Ibrahim Aljarah, Ahmad Sharieh, Mohamed Abd Elaziz, Robertas Damaševičius, Tomas Krilavičius

“…We identified and performed a thorough literature review in three main streams of research lines: Feature selection problem, optimization algorithms, particularly, meta-heuristic algorithms, and modifications applied to NIAs to tackle the FS problem. …”
Get full text

Energy Efficiency and Network Performance: A Reality Check in SDN-Based 5G Systems by Adriana Fernández-Fernández, Cristina Cervelló-Pastor, Leonardo Ochoa-Aday

“…Therefore, two heuristic algorithms are designed: a static network configuration and a dynamic energy-aware routing. …”
Get full text

Enhancement of an Optimized Key for Database Sanitization to Ensure the Security and Privacy of an Autism Dataset by Md. Mokhlesur Rahman, Ravie Chandren Muniyandi, Shahnorbanun Sahran, Suziyani Mohamed

“…An optimal key was generated based on our improved meta-heuristic algorithmic framework called Enhanced Combined PSO-GWO (Particle Swarm Optimization-Grey Wolf Optimization) framework. …”
Get full text

3D Placement Optimization in UAV-Enabled Communications: A Systematic Mapping Study by Jorge Carvajal-Rodriguez, Danny S. Guaman, Christian Tipantuna, Felipe Grijalva, Luis Felipe Urquiza

“…Our research reveals, on one hand, an emphasis on optimizing data rate throughput, power transmission, and ground coverage, and a predominant use of large-scale fading in the air-to-ground channel model; on the other hand, heuristic algorithms prevail as the solution strategy. Moreover, we identify gaps in achieving critical objectives such as the probability of outage, deployment costs, quality of experience, and spectrum optimization. …”
Get full text

Performance Measurement of Energy Optimal Path Finding for Waste Collection Robot Using ACO Algorithm by Koki Tomitagawa, Anuntapat Anuntachai, Supannada Chotipant, Olarn Wongwirat, Shigeru Kuchii

“…The waste collection robot can be modeled as a Capacitated Vehicle Routing Problem (CVRP), where heuristics algorithms can be deployed to search for the most energy-efficient path. …”
Get full text

Enhancing engineering optimization using hybrid sine cosine algorithm with Roulette wheel selection and opposition-based learning by Vu Hong Son Pham, Nghiep Trinh Nguyen Dang, Van Nam Nguyen

“…Abstract Meta-heuristic algorithms distinguish themselves from conventional optimization methods owing to their intrinsic adaptability and straightforward implementation. …”
Get full text

Mixed-Flow Load-Balanced Scheduling for Software-Defined Networks in Intelligent Video Surveillance Cloud Data Center by Biao Song, Yue Chang, Xinchang Zhang, Abdullah Al-Dhelaan, Mohammed Al-Dhelaan

“…In this paper, the MFLBS problem was formulated, along with a set of heuristic algorithms for real-time feedback and adjustment. …”
Get full text

Joint computation offloading and resource allocation strategy for D2D-assisted and NOMA-empowered MEC systems by Umar Ajaib Khan, Rong Chai, Shabeer Ahmad, Waleeed Almughalles

“…We start from a simple case, OMA case and transform the original problem into two sub-problems, i.e., resource allocation sub-problem and computation offloading sub-problem and propose two heuristic algorithms to obtain the sub-optimal solutions of both sub-problems. …”
Get full text

Combined Gaussian Local Search and Enhanced Comprehensive Learning PSO Algorithm for Size and Shape Optimization of Truss Structures by Thu Huynh Van, Sawekchai Tangaramvong, Soviphou Muong, Phuc Tran Van

“…The robustness and accuracy of the proposed scheme are illustrated through comparisons with available benchmarks processed by other meta-heuristic algorithms. All examples show simultaneous optimal size and shape distributions of truss structures complying with limit state design specifications.…”
Get full text

Multi-user multi-objective computation offloading for medical image diagnosis by Qi Liu, Zhao Tian, Guohua Zhao, Yong Cui, Yusong Lin

“…The result shows that, compare with four benchmarks and four heuristic algorithms, the proposed algorithm in this article ensures a faster convergence speed and achieves only a 1.14% decrease in the utility value as the number of users increases.…”
Get full text

Compressed representation for higher-level meme space evolution : a case study on big knapsack problems by Feng, Liang, Gupta, Abhishek, Ong, Yew-Soon

“…In the last decades, a plethora of dedicated heuristic and meta-heuristic algorithms have been crafted to solve complex optimization problems. …”
Get full text

Optimization algorithms combining (meta)heuristics and mathematical programming and its application in engineering by Rodríguez, Nibaldo, Gupta, Abhishek, Zabala, Paula L., Cabrera-Guerrero, Guillermo

“…In this special issue, we aimed to highlight those new approaches that take advantage of the main features of both mathematical programming and heuristic algorithms to solve challenging optimization problems. …”
Get full text
Get full text

A filtering algorithm for efficient retrieving of DNA sequence by Abdul Rahman, Mohd Nordin, Mohd. Saman, Md. Yazid, Ahmad, Aziz, Md. Tap, Abu Osman

“…An optimal alignment process based on the dynamic programming algorithms has shown to have O(n m) time and space complexity. Heuristics algorithms can process a fast DNA sequence alignment, but generate low comparison sensitivity. …”
Get full text

Task scheduling in cloud computing using hybrid genetic algorithm and bald eagle search (GA-BES) by Kamal Khairi Supaprhman

“…The natural evolution optimization algorithm which is genetic algorithm can be improve by combining the nature meta-heuristic algorithms which is bald eagle search to improve the makespan of genetic algorithm using cloudsim that need to be implement on the eclipse platform. …”
Get full text
Get full text

A new rainfall forecasting model using the CAPSO algorithm and an artificial neural network by Beheshti, Z., Firouzi, M., Shamsuddin, S. M., Zibarzani, M., Yusop, Z.

“…In this study, several meta-heuristic algorithms are applied to train an ANN in order to improve the accuracy of rainfall forecasting. …”

40 years of actigraphy in sleep medicine and current state of the art algorithms by Matthew R. Patterson, Adonay A. S. Nunes, Dawid Gerstel, Rakesh Pilkar, Tyler Guthrie, Ali Neishabouri, Christine C. Guo

“…Despite the inclusion of recently published complex algorithms, simple regression-based and heuristic algorithms demonstrated slightly superior performance in sleep-wake classification and sleep outcome estimation. …”
Get full text

Deep Learning-Based Computer-Aided Diagnosis (CAD): Applications for Medical Image Datasets by Yezi Ali Kadhim, Muhammad Umer Khan, Alok Mishra

“…This study employs deep learning methods in conjunction with meta-heuristic algorithms and supervised machine-learning algorithms to perform an accurate diagnosis. …”
Get full text

2D Tsallis Entropy for Image Segmentation Based on Modified Chaotic Bat Algorithm by Zhiwei Ye, Juan Yang, Mingwei Wang, Xinlu Zong, Lingyu Yan, Wei Liu

“…On the other hand, due to the existence of huge computational costs, meta-heuristics algorithms like genetic algorithm (GA), particle swarm optimization (PSO), ant colony optimization algorithm (ACO) and differential evolution algorithm (DE) are used to accelerate the 2D Tsallis entropy thresholding method. …”
Get full text