scholarly journals Scheduling Optimization in Flowline Manufacturing Cell Considering Intercell Movement with Harmony Search Approach

Mathematics ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 2225
Author(s):  
Zhuang Huang ◽  
Jianjun Yang
Keyword(s):  
Particle Swarm Optimization Algorithm ◽  
Search Algorithm ◽  
Harmony Search ◽  
Hybrid Genetic Algorithm ◽  
Harmony Search Algorithm ◽  
Superior Performance ◽  
Two Stage ◽  
Hybrid Particle Swarm Optimization ◽  
Search Approach ◽  
Makespan Criterion

Based on the non-permutation property of intercell scheduling in flowline manufacturing cells, a hybrid harmony search algorithm is proposed to solve the problem with the makespan criterion. On the basis of the basic harmony search algorithm, the three key elements of memory consideration, pitch adjustment and random selection are discretized and improved to adapt to the operation-based encoding. To compare the performance, different scale cases are generated in both the overall solution and the two-stage solution with the proposed algorithm, the hybrid particle swarm optimization algorithm and the hybrid genetic algorithm. The relative deviation is taken as the performance index. The compared results show that a better solution can be obtained with the proposed algorithm in both the overall solution and the two-stage solution, verifying the superior performance of the proposed algorithm.

scholarly journals Harmony Search Approach for Patient Scheduling in Emergency Laboratories

10.29007/jr2r ◽  
2018 ◽  
Author(s):  
Imen Boudali ◽  
Nihel Mokhtar
Keyword(s):  
Emergency Department ◽  
Completion Time ◽  
Search Algorithm ◽  
Harmony Search ◽  
Real Data ◽  
Harmony Search Algorithm ◽  
Total Completion Time ◽  
Patient Scheduling ◽  
Open Shop Scheduling ◽  
Search Approach

This paper deals with the problem of scheduling prioritized patient in emergency department laboratories according to a triage factor. The problem is considered as a flexible open shop scheduling problem with the objective of minimizing the total completion time of prioritized patients. In this research, patient scheduling is addressed with a harmony search algorithm with wheel-roulette selection technique. Then, a comparative study is performed by considering results of genetic algorithm. Simulations on real data from emergency department show that the proposed approach improves significantly the total completion time of patients especially those with severe conditions.

scholarly journals An Energy-Efficient Evolutionary Clustering Technique for Disaster Management in IoT Networks

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2647 ◽  
Author(s):  
Morteza Biabani ◽  
Hossein Fotouhi ◽  
Nasser Yazdani
Keyword(s):  
Disaster Management ◽  
Search Algorithm ◽  
Smart Cities ◽  
Harmony Search ◽  
Cluster Head ◽  
Residual Energy ◽  
Harmony Search Algorithm ◽  
Delivery Ratio ◽  
Evolutionary Clustering ◽  
Hybrid Particle Swarm Optimization

Wireless Sensor Networks (WSNs) are key elements of Internet of Things (IoT) networks which provide sensing and wireless connectivity. Disaster management in smart cities is classified as a safety-critical application. Thus, it is important to ensure system availability by increasing the lifetime of WSNs. Clustering is one of the routing techniques that benefits energy efficiency in WSNs. This paper provides an evolutionary clustering and routing method which is capable of managing the energy consumption of nodes while considering the characteristics of a disaster area. The proposed method consists of two phases. First, we present a model with improved hybrid Particle Swarm Optimization (PSO) and Harmony Search Algorithm (HSA) for cluster head (CH) selection. Second, we design a PSO-based multi-hop routing system with enhanced tree encoding and a modified data packet format. The simulation results for disaster scenarios prove the efficiency of the proposed method in comparison with the state-of-the-art approaches in terms of the overall residual energy, number of live nodes, network coverage, and the packet delivery ratio.

Optimal linear cooperation spectrum sensing method based on chaos harmony search algorithm

2013 ◽  
Vol 32 (9) ◽  
pp. 2412-2417
Author(s):  
Yue-hong LI ◽  
Pin WAN ◽  
Yong-hua WANG ◽  
Jian YANG ◽  
Qin DENG
Keyword(s):  
Spectrum Sensing ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Optimal Linear
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