Multi-strategy hybrid heuristic algorithm for single container weakly heterogeneous loading problem

Zhang, Dezhen; Gu, Chenhao; Fang, Hui; Ji, Chengtao; Zhang, Xiuguo

doi:10.1016/j.cie.2022.108302

Cited by 9 publications

(2 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This algorithm uses a set of predefined rules or guidelines to make decisions and solve problems. The effectiveness of a rule-based heuristic algorithm depends on the quality and relevance of the rules [30].…”

Section: System Structurementioning

confidence: 99%

Advancing Smart Lighting: A Developmental Approach to Energy Efficiency through Brightness Adjustment Strategies

Widartha,

Ra,

Lee

et al. 2024

JLPEA

View full text Add to dashboard Cite

Smart lighting control systems represent an advanced approach to reducing energy use. These systems leverage advanced technology to provide users with better control over their lighting, allowing them to manually, remotely, and automatically modify the brightness, color, and timing of their lights. In this study, we aimed to enhance the energy efficiency of smart lighting systems by using light source data. A multifaceted approach was employed, involving the following three scenarios: sensing device, daylight data, and a combination of both. A low-cost sensor and third-party API were used for data collection, and a prototype application was developed for real-time monitoring. The results showed that combining sensor and daylight data effectively reduced energy consumption, and the rule-based algorithm further optimized energy usage. The prototype application provided real-time monitoring and actionable insights, thus contributing to overall energy optimization.

show abstract

Section: System Structurementioning

confidence: 99%

Advancing Smart Lighting: A Developmental Approach to Energy Efficiency through Brightness Adjustment Strategies

Widartha,

Ra,

Lee

et al. 2024

JLPEA

View full text Add to dashboard Cite

show abstract

“…Some works exploited the hybrid of two meta-heuristics, e.g., PSO + GA [14], which can achieve a better performance than each one. While, these methods didn't consider to integrate heuristic local search strategy into a meta-heuristic for the joint service caching and task offloading problem, even though it have been used in other problems due to the good performance by combining both advantages of heuristics and meta-heuristics [15], [16].…”

Section: Introductionmentioning

confidence: 99%

A Particle Swarm Optimization With Lévy Flight for Service Caching and Task Offloading in Edge-Cloud Computing

Gao

Tang

et al. 2022

IEEE Access

View full text Add to dashboard Cite

Edge-cloud computing is an efficient approach to address the high latency issue in mobile cloud computing for service provisioning, by placing several computing resources close to end devices. To improve the user satisfaction and the resource efficiency, this paper focuses on the task offloading and service caching problem for providing services by edge-cloud computing. This paper formulates the problem as a constrained discrete optimization problem, and proposes a hybrid heuristic method based on Particle Swarm Optimization (PSO) to solve the problem in polynomial time. The proposed method, LMPSO, exploit PSO to solve the service caching problem. To avoid PSO trapping into local optimization, LMPSO adds lévy flight movement for particle updating to improve the diversity of particle. Given the service caching solution, LMPSO uses a heuristic method with three stages for task offloading, where the first stage tries to make full use of cloud resources, the second stage uses edge resources for satisfying requirements of latency-sensitive tasks, and the last stage improves the overall performance of task executions by re-offloaded some tasks from the cloud to edges. Simulated experiment results show that LMPSO has upto 156% better user satisfaction, upto 57.9% higher resource efficiency, and upto 155% greater processing efficiency, in overall, compared with other seven heuristic and meta-heuristic methods.

show abstract

Cutting and Packing

Alvarez-Valdes,

Carravilla,

Oliveira

2024

Handbook of Heuristics

View full text Add to dashboard Cite

Multi-strategy hybrid heuristic algorithm for single container weakly heterogeneous loading problem

Cited by 9 publications

References 42 publications

Advancing Smart Lighting: A Developmental Approach to Energy Efficiency through Brightness Adjustment Strategies

Advancing Smart Lighting: A Developmental Approach to Energy Efficiency through Brightness Adjustment Strategies

A Particle Swarm Optimization With Lévy Flight for Service Caching and Task Offloading in Edge-Cloud Computing

Cutting and Packing

Contact Info

Product

Resources

About