Numerically Optimizing the Distribution of the Infrared Radiative Energy on a Surface of a Thermoplastic Sheet Surface

2018 ◽  
Vol 140 (10) ◽  
Author(s):  
Kahina Bachir Cherif ◽  
Djamal Rebaine ◽  
Fouad Erchiqui ◽  
Issouf Fofana ◽  
Nabil Nahas
Keyword(s):  
Simulated Annealing Algorithm ◽  
Heuristic Algorithms ◽  
Search Algorithm ◽  
Numerical Study ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
Radiative Energy ◽  
Sheet Surface ◽  
Integer Linear Programming Problem ◽  
Annealing Algorithm

This paper addresses the problem of distributing uniformly the energy flux intercepted by a thermoplastic sheet surface during the infrared radiation. To do so, we discretized this problem and then formulated it as an integer linear programming problem, for which we applied two meta-heuristic algorithms namely the simulated annealing algorithm (SA) and harmony search algorithm (HSA), in order to minimize the corresponding objective function. The results produced by the numerical study we conducted on the performance of both algorithms are presented and discussed.

Harmony Search Algorithm and its Application to Product Module Identification

2011 ◽  
Vol 225-226 ◽  
pp. 1100-1104 ◽  
Author(s):  
Quan Shan ◽  
Yan Chen
Keyword(s):  
Design Theory ◽  
Simulated Annealing Algorithm ◽  
Search Algorithm ◽  
Harmony Search ◽  
Optimization Method ◽  
Harmony Search Algorithm ◽  
Optimization Approach ◽  
Module Identification ◽  
Optimization Function ◽  
Axiomatic Design Theory

Point to product module identification, a new optimization method is proposed in this paper. This approach uses the harmony search (HS) algorithm with the synthesis design structure matrix (DSM). The synthesis DSM thinks a series of property correlations facing the product lifecycle, such as function, geometer, physics, assistant and so on. An optimization function for module identification, based on the axiomatic design theory, is established. This optimization approach, which used HS algorithm, is tested several times and compared with other classical algorithms, such as simulated annealing algorithm (SAA) and genetic algorithm (GA). The result demonstrates the feasibility of the proposed approaches.

Optimal Power Flow Solution Using the Harmony Search Algorithm

2014 ◽  
Vol 599-601 ◽  
pp. 1938-1941
Author(s):  
Ping Ren ◽  
Nan Li
Keyword(s):  
Power Flow ◽  
Optimal Power Flow ◽  
Flow Problem ◽  
Heuristic Algorithms ◽  
Search Algorithm ◽  
Harmony Search ◽  
Search Time ◽  
Mathematical Optimization ◽  
Harmony Search Algorithm ◽  
Optimal Power

Inthis paper, the nonlinear optimal control problem is formulated as amulti-objective mathematical optimization problem. Harmony search (HS)algorithm is one of the new heuristic algorithms. The harmony search(HS) optimization algorithm is introduced forthe first time in solving the optimal power flow(OPF) solution. A case onoptimal power flow problem in the IEEE 30 bus system is presented to show themethodology’s feasibility and efficiency, compared with the existing optimalpower flow problem in power system methods, the search time of the HSoptimization algorithm is shorter and the result is close to the idealsolution, simultaneously.

Harmony Search Algorithm and its Variants

2015 ◽  
Vol 29 (08) ◽  
pp. 1539001 ◽  
Author(s):  
Nazmul Siddique ◽  
Hojjat Adeli
Keyword(s):  
Heuristic Search ◽  
Optimization Problem ◽  
Heuristic Algorithms ◽  
Optimization Problems ◽  
Search Algorithm ◽  
Harmony Search ◽  
Population Based ◽  
Harmony Search Algorithm ◽  
Perfect State ◽  
The Past

In the past three decades nature-inspired and meta-heuristic algorithms have dominated the literature in the broad areas of search and optimization. Harmony search algorithm (HSA) is a music-inspired population-based meta-heuristic search and optimization algorithm. The concept behind the algorithm is to find a perfect state of harmony determined by aesthetic estimation. This paper starts with an overview of the harmonic phenomenon in music and music improvisation used by musicians and how it is applied to the optimization problem. The concept of harmony memory and its mathematical implementation are introduced. A review of HSA and its variants is presented. Guidelines from the literature on the choice of parameters used in HSA for effective solution of optimization problems are summarized.

scholarly journals Solving Cell Placement Problem Using Harmony Search Algorithms

2018 ◽  
Vol 8 (4) ◽  
pp. 3172-3176
Author(s):  
R. M. Al Qasem ◽  
S. M. Massadeh
Keyword(s):  
Heuristic Algorithms ◽  
Search Algorithm ◽  
Harmony Search ◽  
Optimal Solution ◽  
Harmony Search Algorithm ◽  
Placement Problem ◽  
Solution Quality ◽  
Chip Design ◽  
Cell Placement ◽  
Placement Algorithm

Cell placement is a phase in the chip design process, in which cells are assigned to physical locations. A placement algorithm is a way that satisfies the objectives and minimizes the total area while keeping enough space for routing. Cell placement is an NP-complete problem of very large size. In order to solve this problem, diversified heuristic algorithms are used. In this work, a new algorithm is proposed based on the harmony search algorithm. The harmony search algorithm mimics music improvisation process to find the optimal solution. Cell placement problem has many constraints, so in this work, the harmony search algorithm is modified to adapt to these constraints. Experiment results show that this algorithm is efficient for solving cell placement and is characterized by good performance, solution quality and likelihood of optimality.

Harmonic Optimization in Voltage Source Inverter for PV Application using Heuristic Algorithms

2016 ◽  
Vol 17 (6) ◽  
pp. 671-682 ◽  
Author(s):  
Shaimaa A. Kandil ◽  
A.A. Ali ◽  
Adel El Samahy ◽  
Sherif M. Wasfi ◽  
O.P. Malik
Keyword(s):  
Heuristic Algorithms ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmonic Distortion ◽  
Harmony Search Algorithm ◽  
Voltage Source ◽  
Switching Frequency ◽  
Harmonic Elimination ◽  
Specific Order ◽  
Low Order

Abstract Selective Harmonic Elimination (SHE) technique is the fundamental switching frequency scheme that is used to eliminate specific order harmonics. Its application to minimize low order harmonics in a three level inverter is proposed in this paper. The modulation strategy used here is SHEPWM and the nonlinear equations, that characterize the low order harmonics, are solved using Harmony Search Algorithm (HSA) to obtain the optimal switching angles that minimize the required harmonics and maintain the fundamental at the desired value. Total Harmonic Distortion (THD) of the output voltage is minimized maintaining selected harmonics within allowable limits. A comparison has been drawn between HSA, Genetic Algorithm (GA) and Newton Raphson (NR) technique using MATLAB software to determine the effectiveness of getting optimized switching angles.

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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