Search Results - subject:"Particle swarm"

A two-stage optimization model for relief logistics and distribution to disaster survivors under two-fold uncertainty

Sahoo, Palash - In: Supply chain analytics 8 (2024), pp. 1-23

algorithm and particle swarm optimization techniques have been proposed to find the optimal solution for the two deterministic …

Persistent link: https://www.econbiz.de/10015325090

Application of Fractal Processes and Fractional Derivatives in Finance

Chan, Leung Lung (contributor) - 2024

In recent years, there has been a fast growth in the application of long-memory processes to underlying assets including stock, volatility index, exchange rate, etc. The fractional Brownian motion is the most popular of the long-memory processes and was introduced by Kolmogorov in 1940 and later...

Persistent link: https://www.econbiz.de/10015324975

Fresh produce supply chain network design and management using swarm intelligence : a case study of Egypt

Fahmy, Sherif; Gaber, Yomna; Zaki, Areej; Gaafar, Mohamed - In: Journal of industrial engineering and management : JIEM 17 (2024) 2, pp. 583-610

modeling and solving a cost minimization dynamic facility location-allocation (FLA) problem using a hybrid binary particle … swarm optimization (BPSO) algorithm. The second phase of the approach is to complement the hub FLA decision with optimal …

Persistent link: https://www.econbiz.de/10015375625

Hybrid distributed feature selection using particle swarm optimization-mutual information

Robindro, Khumukcham; Devi, Sanasam Surjalata; Clinton, … - In: Data science and management : DSM 7 (2024) 1, pp. 64-73

"HDFS(PSO-MI): hybrid distribute feature selection using particle swarm optimization-mutual information (PSO-MI)", is a PSO …

Persistent link: https://www.econbiz.de/10014518035

A Hybrid Particle Whale Optimization Algorithm with application to workflow scheduling in cloud-fog environment

Bansal, Sumit; Aggarwal, Himanshu - In: Decision analytics journal 9 (2023), pp. 1-14

Whale Optimization Algorithm" (PWOA) to overcome the above-mentioned problem by combining Particle Swarm Optimization (PSO …

Persistent link: https://www.econbiz.de/10014533321

A crossover-based multi-objective discrete particle swarm optimization model for solving multi-modal routing problems

Afrasyabi, Parastoo; Mesgari, Mohammad Saadi; … - In: Decision analytics journal 9 (2023), pp. 1-17

-Objective Discrete Particle Swarm Optimization (CBMODPSO) to solve the problem. CBMODPSO has been improved using mutation and crossover …

Persistent link: https://www.econbiz.de/10014533324

The development of the method of evaluation of complex hierarchical systems based on improved alforitm of particle swarm

Shyshatskyi, Andrii; Pluhina, Tetiana; Plekhova, Ganna; … - In: Technology audit and production reserves 6 (2023) 2/74, pp. 15-19

Persistent link: https://www.econbiz.de/10014497154

An innovative talent training mechanism for maker education in colleges and universities based on the IPSO-BP-enabled technique

Liu, Yuanbing - In: Journal of innovation & knowledge : JIK 8 (2023) 4, pp. 1-12

college students' maker ability is established, and an improved particle swarm optimisation (IPSO) algorithm is introduced …

Persistent link: https://www.econbiz.de/10014505004

A modified Particle Swarm Optimization algorithm with enhanced search quality and population using Hummingbird Flight patterns

Zare, Mohsen; Akbari, Mohammad-Amin; … - In: Decision analytics journal 7 (2023), pp. 1-24

This study proposes a modified Particle Swarm Optimization (PSO) algorithm based on Hummingbird Flight (HBF) patterns …

Persistent link: https://www.econbiz.de/10014505228

A hybrid moth-flame algorithm with particle swarm optimization with application in power transmission and distribution

Shaikh, Muhammad Suhail; Raj, Saurav; Babu, Rohit; … - In: Decision analytics journal 6 (2023), pp. 1-11

transposed line. This paper presents a hybrid moth-flame optimization (MFO) and particle swarm optimization (PSO) for estimating …

Persistent link: https://www.econbiz.de/10014506226