Add to ORKGThere exists an analogy between music and optimization. This book focuses on a music-inspired metaheuristic algorithm, harmony search. It details both theoretical backgrounds and practical applications of harmony search algorithms
This paper presents a comprehensive overview of the development of the harmony search (HS) algorithm...
This paper presents Harmony Search algorithm (HS) for solving the reactive power problem. Real power...
AbstractMany optimisation problems are dynamic in the sense that changes occur during the optimisati...
AbstractSince the Harmony Search Algorithm (HSA) was first introduced in 2001, it has drawn a world-...
Harmony search algorithm is the recently developed metaheuristic in the last decade. It mimics the b...
The Harmony Search (HS) draws its inspiration not from a biological or physical process like most ot...
The theoretical analysis of evolutionary algorithms is believed to be very important for understandi...
Harmony search algorithm (HS) is a new metaheuristic algorithm which is inspired by a process involv...
Harmony search algorithm (HSA) is relatively considered as one of the most recent metaheuristic algo...
A metaheuristic algorithm, called Harmony Search is quite highly applied in optimizing parameters in...
This book presents state-of-the-art technical contributions based around one of the most successful ...
Inspired by the improvisation process of music players, a population-based meta-heuristic algorithm-...
The Harmony Search (HS) algorithm appeared around the year 2000 and it now has a substantial literat...
A Harmony Search (HS) algorithm is a population based-meta-heuristics approach that is superior in ...
In this paper, we aim to analyze the performance of some variants of the harmony search (HS) metaheu...
This paper presents a comprehensive overview of the development of the harmony search (HS) algorithm...
This paper presents Harmony Search algorithm (HS) for solving the reactive power problem. Real power...
AbstractMany optimisation problems are dynamic in the sense that changes occur during the optimisati...
AbstractSince the Harmony Search Algorithm (HSA) was first introduced in 2001, it has drawn a world-...
Harmony search algorithm is the recently developed metaheuristic in the last decade. It mimics the b...
The Harmony Search (HS) draws its inspiration not from a biological or physical process like most ot...
The theoretical analysis of evolutionary algorithms is believed to be very important for understandi...
Harmony search algorithm (HS) is a new metaheuristic algorithm which is inspired by a process involv...
Harmony search algorithm (HSA) is relatively considered as one of the most recent metaheuristic algo...
A metaheuristic algorithm, called Harmony Search is quite highly applied in optimizing parameters in...
This book presents state-of-the-art technical contributions based around one of the most successful ...
Inspired by the improvisation process of music players, a population-based meta-heuristic algorithm-...
The Harmony Search (HS) algorithm appeared around the year 2000 and it now has a substantial literat...
A Harmony Search (HS) algorithm is a population based-meta-heuristics approach that is superior in ...
In this paper, we aim to analyze the performance of some variants of the harmony search (HS) metaheu...
This paper presents a comprehensive overview of the development of the harmony search (HS) algorithm...
This paper presents Harmony Search algorithm (HS) for solving the reactive power problem. Real power...
AbstractMany optimisation problems are dynamic in the sense that changes occur during the optimisati...