Papers Metaheuristic Optimization
“Metaheuristic Optimization” 태그가 달린 논문 69편 · 필터 해제
Blindfolded Spider-man Optimization: A Single-Point Metaheuristics Suitable for Continuous and Discrete Spaces
In this study, we introduce a new single point metaheuristic optimization approach suitable for both continuous and discrete domains. The proposed algorithm, entitled Blindfolded Spiderman Optimization, follows a piecewi…
Metaheuristic OptimizationOptimizing Interplanetary Trajectories using Hybrid Meta-heuristic
This paper proposes an advanced hybrid optimization (GMPA) algorithm to effectively address the inherent limitations of the Grey Wolf Optimizer (GWO) when applied to complex optimization scenarios. Specifically, GMPA int…
Metaheuristic OptimizationHybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization
Pap smear image segmentation is crucial for cervical cancer diagnosis. However, traditional segmentation models often struggle with complex cellular structures and variations in pap smear images. This study proposes a hy…
Cell SegmentationImage SegmentationMedical Image AnalysisMetaheuristic Optimization+2Graph-Theoretic Measures for Interpretable Multicriteria Decision Making in Emergency Department Layout Optimization
Overcrowding in emergency departments (ED) is a persistent problem exacerbated by population growth, emergence of pandemics, and increased morbidity and mortality rates. Thus, automated approaches for ED layout design ha…
Decision MakingLayout DesignMetaheuristic OptimizationOptimization through In-Context Learning and Iterative LLM Prompting for Nuclear Engineering Design Problems
The optimization of nuclear engineering designs, such as nuclear fuel assembly configurations, involves managing competing objectives like reactivity control and power distribution. This study explores the use of Optimiz…
In-Context LearningMetaheuristic OptimizationFig Tree-Wasp Symbiotic Coevolutionary Optimization Algorithm
The nature inspired algorithms are becoming popular due to their simplicity and wider applicability. In the recent past several such algorithms have been developed. They are mainly bio-inspired, swarm based, physics base…
Metaheuristic OptimizationGoat Optimization Algorithm: A Novel Bio-Inspired Metaheuristic for Global Optimization
This paper presents the Goat Optimization Algorithm (GOA), a novel bio-inspired metaheuristic optimization technique inspired by goats' adaptive foraging, strategic movement, and parasite avoidance behaviors.GOA is desig…
global-optimizationMetaheuristic OptimizationApplications of deep reinforcement learning to urban transit network design
This thesis concerns the use of reinforcement learning to train neural networks to aid in the design of public transit networks. The Transit Network Design Problem (TNDP) is an optimization problem of considerable practi…
Deep Reinforcement LearningMetaheuristic Optimizationreinforcement-learningReinforcement LearningPSO-based Sliding Mode Current Control of Grid-Forming Inverter in Rotating Frame
The Grid-Forming Inverter (GFMI) is an emerging topic that is attracting significant attention from both academic and industrial communities, particularly in the area of control design. The Decoupled Average Model-based …
Metaheuristic OptimizationThe Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways
Evolutionary and bioinspired computation are crucial for efficiently addressing complex optimization problems across diverse application domains. By mimicking processes observed in nature, like evolution itself, these al…
BenchmarkingMetaheuristic OptimizationNavigation Variable-based Multi-objective Particle Swarm Optimization for UAV Path Planning with Kinematic Constraints
Path planning is essential for unmanned aerial vehicles (UAVs) as it determines the path that the UAV needs to follow to complete a task. This work addresses this problem by introducing a new algorithm called navigation …
Metaheuristic OptimizationOptimization of Convolutional Neural Network Hyperparameter for Medical Image Diagnosis using Metaheuristic Algorithms: A short Recent Review (2019-2022)
Convolutional Neural Networks (CNNs) have been successfully utilized in the medical diagnosis of many illnesses. Nevertheless, identifying the optimal architecture and hyperparameters among the available possibilities mi…
Medical DiagnosisMetaheuristic OptimizationDefending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization
Adversarial attacks pose significant challenges in many machine learning applications, particularly in the setting of distributed training and federated learning, where malicious agents seek to corrupt the training proce…
Federated LearningMetaheuristic OptimizationSocial Distancing Induced Coronavirus Optimization Algorithm (COVO): Application to Multimodal Function Optimization and Noise Removal
The metaheuristic optimization technique attained more awareness for handling complex optimization problems. Over the last few years, numerous optimization techniques have been developed that are inspired by natural phen…
Metaheuristic OptimizationBoosting the Efficiency of Metaheuristics Through Opposition-Based Learning in Optimum Locating of Control Systems in Tall Buildings
Opposition-based learning (OBL) is an effective approach to improve the performance of metaheuristic optimization algorithms, which are commonly used for solving complex engineering problems. This chapter provides a comp…
Metaheuristic OptimizationEnhancing CNN Classification with Lamarckian Memetic Algorithms and Local Search
Optimization is critical for optimal performance in deep neural networks (DNNs). Traditional gradient-based methods often face challenges like local minima entrapment. This paper explores population-based metaheuristic o…
Computational Efficiencyimage-classificationImage ClassificationMetaheuristic OptimizationMetaheuristics is All You Need
Optimization plays an important role in tackling public health problems. Animal instincts can be used effectively to solve complex public health management issues by providing optimal or approximately optimal solutions t…
AllManagementMetaheuristic OptimizationWater and Electricity Consumption Forecasting at an Educational Institution using Machine Learning models with Metaheuristic Optimization
Educational institutions are essential for economic and social development. Budget cuts in Brazil in recent years have made it difficult to carry out their activities and projects. In the case of expenses with water and …
Metaheuristic OptimizationHRA: A Multi-Criteria Framework for Ranking Metaheuristic Optimization Algorithms
Metaheuristic algorithms are essential for solving complex optimization problems in different fields. However, the difficulty in comparing and rating these algorithms remains due to the wide range of performance metrics …
Metaheuristic OptimizationMultistep Brent Oil Price Forecasting with a Multi-Aspect Meta-heuristic Optimization and Ensemble Deep Learning Model
Accurate crude oil price forecasting is crucial for various economic activities, including energy trading, risk management, and investment planning. Although deep learning models have emerged as powerful tools for crude …
energy tradingfeature selectionManagementMetaheuristic Optimization+1