scholarly journals Effect of Random Number Sequences On The Optimum Design of Castellated Beams With Improved Harmony Search Method

2016 ◽  
Vol 8 (3) ◽  
pp. 25-25 ◽  
Author(s):  
Ferhat Erdal ◽  
Serkan Taş ◽  
Osman Tunca ◽  
Serdar Carbaş
Keyword(s):  
Optimum Design ◽  
Random Number ◽  
Harmony Search ◽  
Search Method ◽  
Number Sequences ◽  
Improved Harmony Search

Optimal power flow solution using improved harmony search method

2013 ◽  
Vol 13 (5) ◽  
pp. 2364-2374 ◽  
Author(s):  
Nampetch Sinsuphan ◽  
Uthen Leeton ◽  
Thanatchai Kulworawanichpong
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Harmony Search ◽  
Search Method ◽  
Flow Solution ◽  
Optimal Power ◽  
Improved Harmony Search

scholarly journals Harmony Search Method with Global Sharing Factor Based on Natural Number Coding for Vehicle Routing Problem

Information ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 86 ◽  
Author(s):  
Liqun Liu ◽  
Jiuyuan Huo ◽  
Fei Xue ◽  
Yongqiang Dai
Keyword(s):  
Natural Number ◽  
Vehicle Routing ◽  
Vehicle Routing Problem ◽  
Optimization Problems ◽  
Harmony Search ◽  
Search Method ◽  
Small Scale ◽  
Routing Problem ◽  
Improved Harmony Search ◽  
New Harmony

This paper proposes an improved Harmony Search algorithm, and gives the definition of the Global Sharing Factor of the Harmony Search (HS) algorithm. In the definition, the number of creations of the HS algorithm is applied to the sharing factor and calculated. In this algorithm, the natural harmony encoding method is used to encode the initial harmony, and the total path length of all vehicles is taken as the optimization objective function. A new harmony generation strategy is proposed as follows: each tone component in an evolution is calculated separately using the new learning strategy and update strategy. In the calculation process, the tone component is judged by whether it needs to be adjusted according to the adjustment strategy. In this way, the problems of singularity and randomness of the new harmony generation strategy of basic HS are solved to improve the diversity of algorithm solutions. Then, a new Harmony Search method with Global Sharing Factor based on natural number coding and decoding for the Vehicle Routing Problem (GSF-HS-VRP) is proposed. The improved Global Sharing Factor-Harmony Search-Vehicle Routing Problem (GSF-HS-VRP) algorithm is applied to capacity-limited vehicle path optimization problems compared with the HS, Improved Harmony Search (IHS), Global-best Harmony Search (GHS), and Self-adaptive Global Best Harmony Search (SGHS) algorithms. The small-scale data and Solomon examples were adopted as the experimental data. Compared with the other four algorithms, the GSF-HS-VRP algorithm has the shortest running time, more rapid convergence speed, and higher efficiency. In the multi-vehicle test, with the increase of the number of vehicles, the optimized path of the vehicle is more satisfied in relation to the actual needs of customers. The results showed that this method could effectively improve the optimization performance of the capacity-limited vehicle routing problem.

scholarly journals A New Approach to Weapon-Target Assignment in Cooperative Air Combat

2017 ◽  
Vol 2017 ◽  
pp. 1-17 ◽  
Author(s):  
Yi-zhe Chang ◽  
Zhan-wu Li ◽  
Ying-xin Kou ◽  
Qing-peng Sun ◽  
Hai-yan Yang ◽  
...  
Keyword(s):  
Hybrid Algorithm ◽  
Harmony Search ◽  
New Approach ◽  
Artificial Fish Swarm Algorithm ◽  
Target Assignment ◽  
Air Combat ◽  
Improved Harmony Search ◽  
Artificial Fish Swarm ◽  
Swarm Algorithm

A new approach to solving weapon-target assignment (WTA) problem is proposed in this paper. Firstly, relative superiority that lays the foundation for assignment is calculated based on the combat power energy of the fighters. Based on the relative superiority, WTA problem is formulated. Afterwards, a hybrid algorithm consisting of improved artificial fish swarm algorithm (AFSA) and improved harmony search (HS) is introduced and furthermore applied to solve the assignment formulation. Finally, the proposed approach is validated by eight representative benchmark functions and two concrete cooperative air combat examples. The results show that the approach proposed in this paper achieves good performances in solving WTA problem in cooperative air combat.

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