Search Results - subject:"ALGORITHM"

A comparison performance analysis of eight meta-heuristic algorithms for optimal design of truss structures with static constraints

Khodadadi, Nima; Çiftçioğlu, Aybike Özyüksel; … - In: Decision analytics journal 8 (2023), pp. 1-18

-based meta-heuristic methods: African Vultures Optimization Algorithm (AVOA), Flow Direction Algorithm (FDA), Arithmetic … Optimization Algorithm (AOA), Generalized Normal Distribution Optimization (GNDO), Stochastic Paint Optimizer (SPO), Chaos Game … Optimizer (CGO), Crystal Structure Algorithm (CRY) and Material Generation Algorithm (MGO). These meta-heuristics methods are …

Persistent link: https://www.econbiz.de/10014516494

A novel variational inequality approach for modeling the optimal equilibrium in multi-tiered supply chain networks

He, Sheng-Xue; Cui, Yun-Ting - In: Supply chain analytics 4 (2023), pp. 1-24

a novel population-based heuristic algorithm called the Multiscale Model Learning Algorithm (MMLA). The MMLA is inspired …

Persistent link: https://www.econbiz.de/10014516528

A comprehensive strategic-tactical multi-objective sustainable supply chain model with human resources considerations

Nozari, Hamed; Ghahremani-Nahr, Javid - In: Supply chain analytics 4 (2023), pp. 1-17

mathematical models of epsilon limit, Non-dominated Sorting Genetic Algorithm II (NSGA II), and Multi-Objective Particle Swarm …

Persistent link: https://www.econbiz.de/10014516533

An end-to-end pollution analysis and detection system using artificial intelligence and object detection algorithms

Hossain, Md. Yearat; Nijhum, Ifran Rahman; Shad, Md. … - In: Decision analytics journal 8 (2023), pp. 1-14

Environmental pollution is generally a by-product of various human activities. Researchers have studied the dangers and harmful effects of pollutants and environmental pollution for centuries, and many necessary steps have been taken. Modern solutions are being constantly developed to tackle...

Persistent link: https://www.econbiz.de/10014516995

A multi-parent genetic algorithm for solving longitude-latitude-based 4D traveling salesman problems under uncertainty

Manna, Apurba; Roy, Arindam; Maity, Samir; Mondal, Sukumar - In: Decision analytics journal 8 (2023), pp. 1-18

-effective security and risk-related difficulties associated with the TSP. We used a multiparent-based memetic genetic algorithm to … and latitude. The contributions of this study are twofold: developing a genetic algorithm and heuristics based on …

Persistent link: https://www.econbiz.de/10014517106

Application of support vector machine algorithm for early differential diagnosis of prostate cancer

Akinnuwesi, Boluwaji A.; Olayanju, Kehinde A.; … - In: Data science and management : DSM 6 (2023) 1, pp. 1-12

Prostate cancer (PCa) symptoms are commonly confused with benign prostate hyperplasia (BPH), particularly in the early stages due to similarities between symptoms, and in some instances, underdiagnoses. Clinical methods have been utilized to diagnose PCa; however, at the full-blown stage, clinical...

Persistent link: https://www.econbiz.de/10014517987

Two-phase tabu search algorithm for solving Chinese high school timetabling problems under the new college entrance examination reform

Sun, Zhe; Wu, Qinghua - In: Data science and management : DSM 6 (2023) 1, pp. 55-63

algorithm was proposed to solve the problem. The proposed algorithm uses the characteristics of the graph coloring model to …. Fifteen practical instances of different scales were selected for testing to verify the effectiveness of the algorithm. The … proposed algorithm can formulate high-quality available timetables (The average satisfaction rate of soft constraints is more …

Persistent link: https://www.econbiz.de/10014517996

Centralized and decentralized algorithms for two-to-one matching problem in ridehailing systems

Meshkani, Seyed Mehdi; Farooq, Bilal - In: EURO journal on transportation and logistics 12 (2023), pp. 1-16

In the context of on-demand ridehailing, we propose a heuristic matching algorithm where a passenger can share their … the performance, we implemented the algorithm in a traffic microsimulator and compared it with a ride-matching algorithm …%, compared to the IBM algorithm. The decentralized version demonstrated a 25.53 times speedup and the service rate improved by 19 …

Persistent link: https://www.econbiz.de/10014518054

Deep reinforcement learning for stochastic last-mile delivery with crowdshipping

Silva, Marco Aurelio Costa da; Pedroso, João Pedro; … - In: EURO journal on transportation and logistics 12 (2023), pp. 1-13

We study a setting in which a company not only has a fleet of capacitated vehicles and drivers available to make deliveries but may also use the services of occasional drivers (ODs) willing to make deliveries using their own vehicles in return for a small fee. Under such a business model, a.k.a...

Persistent link: https://www.econbiz.de/10014518071

A new modeling approach for the unrestricted block relocation problem

Kimms, Alf; Wilschewski, Fabian - In: OR spectrum : quantitative approaches in management 45 (2023) 4, pp. 1071-1111

Persistent link: https://www.econbiz.de/10014519049