Part 8: Intelligent Distributed SystemsInternational audienceIn this paper, some harmony search algorithms have been proposed for data mining with big data. Three areas of big data processing have been studied to apply new metaheuristics. The first problem is related to MapReduce architecture that can be supported by a team of harmony search agents in grid infrastructure. The second dilemma involves development of harmony search in preprocessing of data series before data mining. Moreover, harmony search as a classification algorithm is studied as the third application. Finally, some outcomes for numerical experiments are submitted
AbstractHarmony search (HS) is a relatively new meta-heuristic optimization method, which is based o...
Harmony Search is a metaheuristic technique for optimizing problems involving sets of continuous or ...
This paper presents a comprehensive overview of the development of the harmony search (HS) algorithm...
Part 8: Intelligent Distributed SystemsInternational audienceIn this paper, harmony search algorithm...
Harmony search algorithm is the recently developed metaheuristic in the last decade. It mimics the b...
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 propose an improved harmony search algorithm named LHS with three key features: (i...
In the area of data mining, feature selection is an important task for classification and dimensiona...
Harmony search algorithm (HS) is a new metaheuristic algorithm which is inspired by a process involv...
The theoretical analysis of evolutionary algorithms is believed to be very important for understandi...
The Harmony Search (HS) draws its inspiration not from a biological or physical process like most ot...
There exists an analogy between music and optimization. This book focuses on a music-inspired metahe...
In high dimensional datasets, feature selection plays a significant task for dimensionality reductio...
This book presents state-of-the-art technical contributions based around one of the most successful ...
AbstractHarmony search (HS) is a relatively new meta-heuristic optimization method, which is based o...
Harmony Search is a metaheuristic technique for optimizing problems involving sets of continuous or ...
This paper presents a comprehensive overview of the development of the harmony search (HS) algorithm...
Part 8: Intelligent Distributed SystemsInternational audienceIn this paper, harmony search algorithm...
Harmony search algorithm is the recently developed metaheuristic in the last decade. It mimics the b...
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 propose an improved harmony search algorithm named LHS with three key features: (i...
In the area of data mining, feature selection is an important task for classification and dimensiona...
Harmony search algorithm (HS) is a new metaheuristic algorithm which is inspired by a process involv...
The theoretical analysis of evolutionary algorithms is believed to be very important for understandi...
The Harmony Search (HS) draws its inspiration not from a biological or physical process like most ot...
There exists an analogy between music and optimization. This book focuses on a music-inspired metahe...
In high dimensional datasets, feature selection plays a significant task for dimensionality reductio...
This book presents state-of-the-art technical contributions based around one of the most successful ...
AbstractHarmony search (HS) is a relatively new meta-heuristic optimization method, which is based o...
Harmony Search is a metaheuristic technique for optimizing problems involving sets of continuous or ...
This paper presents a comprehensive overview of the development of the harmony search (HS) algorithm...