Integrating the Opposition Nelder–Mead Algorithm into the Selection Phase of the Genetic Algorithm for Enhanced Optimization
In this paper, we propose a novel methodology that combines the opposition Nelder–Mead
algorithm and the selection phase of the genetic algorithm. This integration aims to enhance …
algorithm and the selection phase of the genetic algorithm. This integration aims to enhance …
[HTML][HTML] Binary metaheuristic algorithms for 0–1 knapsack problems: Performance analysis, hybrid variants, and real-world application
M Abdel-Basset, R Mohamed, S Saber… - Journal of King Saud …, 2024 - Elsevier
This paper examines the performance of three binary metaheuristic algorithms when applied
to two distinct knapsack problems (0–1 knapsack problems (KP01) and multidimensional …
to two distinct knapsack problems (0–1 knapsack problems (KP01) and multidimensional …
An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis
This paper presents a binary variant of the recently proposed spider wasp optimizer (SWO),
namely BSWO, for accurately tackling the multidimensional knapsack problem (MKP), which …
namely BSWO, for accurately tackling the multidimensional knapsack problem (MKP), which …
A Gaussian convolutional optimization algorithm with tent chaotic map**
Y Qi, A Jiang, Y Gao - Scientific Reports, 2024 - nature.com
To solve the problems of the traditional convolution optimization algorithm (COA), which are
its slow convergence speed and likelihood of falling into local optima, a Gaussian mutation …
its slow convergence speed and likelihood of falling into local optima, a Gaussian mutation …
An Improved Dual Hybrid Algorithm for Efficient Resource Utilization in mm-Communication Using ABC-Firefly and Levenberg's Algorithm
This paper presents an improved mm-wave communication system by incorporating Artificial
Bee Colony (ABC) algorithm for feature vector selection and using the firefly algorithm for …
Bee Colony (ABC) algorithm for feature vector selection and using the firefly algorithm for …
An Artificial Bee Colony Algorithm for the Multidimensional Knapsack Problem: Using Design of Experiments for Parameter Tuning
N Yaghini, MYS Valizadeh - International Journal of Applied …, 2024 - igi-global.com
Abstract The Multidimensional Knapsack Problem (MDKP) stands as a prominent challenge
in combinatorial optimization, with diverse applications across various domains. The …
in combinatorial optimization, with diverse applications across various domains. The …
Spectrum Aware Unequal Clustering with Route Selection Protocol for Energy Efficient Cognitive Radio Wireless Sensor Networks
Spectrum awareness with energy conservation is a main prerequisite in Cognitive Radio
Sensor Networks (CRSN) as the sensor nodes (SNs) operate in physically unattended areas …
Sensor Networks (CRSN) as the sensor nodes (SNs) operate in physically unattended areas …