-
141
-
142
-
143
Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting
Published 2011Subjects: Get full text
doctoralThesis -
144
-
145
-
146
-
147
Gas Metal Arc Welding (GMAW) Process Optimization Using Machine Learning Models
Published 2023Subjects: Get full text
doctoralThesis -
148
-
149
-
150
Stochastic optimal power flow framework with incorporation of wind turbines and solar PVs using improved liver cancer algorithm
Published 2024“…<p dir="ltr">The present study introduces a nature inspired improved liver cancer algorithm (ILCA) for solving the non‐convex engineering optimization issues. …”
-
151
Performance Assessment of Foraging Algorithms vs. Evolutionary Algorithms
Published 2012“…The class of foraging algorithms is a relatively new field based on mimicking the foraging behavior of animals, insects, birds or fish in order to develop efficient optimization algorithms. …”
Get full text
Get full text
-
152
Distributed optimal coverage control in multi-agent systems: Known and unknown environments
Published 2024“…<p>This paper introduces a novel approach to solve the coverage optimization problem in multi-agent systems. The proposed technique offers an optimal solution with a lower cost with respect to conventional Voronoi-based techniques by effectively handling the issue of agents remaining stationary in regions void of information using a ranking function. …”
-
153
Tensile Test Optimization Using the Design of Experiment and Soft Computing
Published 2023“…This study employs a hybrid soft computing approach, integrating an adaptive network-based fuzzy inference system (ANFIS), genetic algorithm (GA) optimization, and design of experiments (DOE). …”
-
154
Scheduling IoT Requests to Minimize Latency in Fog Computing
Published 2017Subjects: Get full text
doctoralThesis -
155
-
156
A Survey of Data Clustering Techniques
Published 2023Subjects: Get full text
Get full text
Get full text
masterThesis -
157
Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach
Published 2025“…The convolutional neural network is optimized using genetic algorithms, which dynamically tune hyper-parameters such as learning rate, batch size, and momentum to improve performance and generalizability across diverse environmental conditions. …”
-
158
Development of an Optimization Scheme for A Fixed-Wing UAV Long Endurance with PEMFC and Battery
Published 2018Subjects: Get full text
doctoralThesis -
159
-
160
New Fast Arctangent Approximation Algorithm for Generic Real-Time Embedded Applications
Published 2019Subjects: