The Harmony Search (HS) method is an emerging meta-heuristic optimization algorithm, which has been employed to cope with numerous challenging tasks during the past decade. In this paper, the essential theory of the HS algorithm is first described in details. Next, a few typical variations of the HS method are explained. The application of the HS in a practical wind turbine electrical generator optimal design case study is finally presented. Computer simulation results have clearly demonstrated its remarkable performances in dealing with demanding optimization problems.Peer reviewe
AbstractThe meta-heuristic methods are very efficient for the search of global solution for complex ...
A Harmony Search (HS) algorithm is a population based-meta-heuristics approach that is superior in ...
Distribution network planning because of involving many variables and constraints is a multiobjectiv...
International audienceToday's important industrial energy seeks maximum benefit with maximum reliabi...
International audienceToday's important industrial companies seek maximum benefit with minimum inves...
A metaheuristic algorithm, called Harmony Search is quite highly applied in optimizing parameters in...
This paper presents Harmony Search algorithm (HS) for solving the reactive power problem. Real power...
This paper proposes a harmony search algorithm-based optimization of design and operation of hydropo...
The present study aims to develop a problem-independent, generic optimization toolkit applicable to ...
Harmony search (HS) algorithm has a strong exploration and exploitation capability based on its uniq...
Contemporary design in engineering and industry relies heavily on computer simulation and efficient ...
Harmony search algorithm is the recently developed metaheuristic in the last decade. It mimics the b...
The theoretical analysis of evolutionary algorithms is believed to be very important for understandi...
To solve the comprehensive multiobjective optimization problem, this study proposes an improved meta...
This paper presents a Harmony Search Optimization (HSO) based design methodology for maximizing both...
AbstractThe meta-heuristic methods are very efficient for the search of global solution for complex ...
A Harmony Search (HS) algorithm is a population based-meta-heuristics approach that is superior in ...
Distribution network planning because of involving many variables and constraints is a multiobjectiv...
International audienceToday's important industrial energy seeks maximum benefit with maximum reliabi...
International audienceToday's important industrial companies seek maximum benefit with minimum inves...
A metaheuristic algorithm, called Harmony Search is quite highly applied in optimizing parameters in...
This paper presents Harmony Search algorithm (HS) for solving the reactive power problem. Real power...
This paper proposes a harmony search algorithm-based optimization of design and operation of hydropo...
The present study aims to develop a problem-independent, generic optimization toolkit applicable to ...
Harmony search (HS) algorithm has a strong exploration and exploitation capability based on its uniq...
Contemporary design in engineering and industry relies heavily on computer simulation and efficient ...
Harmony search algorithm is the recently developed metaheuristic in the last decade. It mimics the b...
The theoretical analysis of evolutionary algorithms is believed to be very important for understandi...
To solve the comprehensive multiobjective optimization problem, this study proposes an improved meta...
This paper presents a Harmony Search Optimization (HSO) based design methodology for maximizing both...
AbstractThe meta-heuristic methods are very efficient for the search of global solution for complex ...
A Harmony Search (HS) algorithm is a population based-meta-heuristics approach that is superior in ...
Distribution network planning because of involving many variables and constraints is a multiobjectiv...