The harmony search (HS) algorithm is one of the meta-heuristic algorithms that was inspired by the concept of the musical process with the aim of harmony, to achieve the best solution. In comparison with other meta-heuristic algorithms, one of the most significant characteristics of this algorithm that has increased the flexibility of the algorithm in search of solution spaces is the use of all the solutions in its memory. The literature review shows that, according to the high efficiency of the harmony search algorithm, it has been widely used in various sciences in recent years. Hence, the main purpose of this study is to review the applications of the harmony search algorithm in geomechanics which is a significant research topic in the e...
In this study, a solution model is proposed to obtain input ground motion datasets compatible with g...
In this chapter an improved version of harmony search algorithm called an adaptive harmony search al...
Inspired by the improvisation process of music players, a population-based meta-heuristic algorithm-...
Variational principle is an important principle in engineering discipline. This principle is suitabl...
A Harmony Search (HS) algorithm is a population based-meta-heuristics approach that is superior in ...
Harmony search algorithm is the recently developed metaheuristic in the last decade. It mimics the b...
Slope stability analysis is undoubtedly one of the most complex problems in geotechnical engineering...
The Harmony Search (HS) algorithm appeared around the year 2000 and it now has a substantial literat...
The Harmony Search (HS) draws its inspiration not from a biological or physical process like most ot...
AbstractSince the Harmony Search Algorithm (HSA) was first introduced in 2001, it has drawn a world-...
The theoretical analysis of evolutionary algorithms is believed to be very important for understandi...
There exists an analogy between music and optimization. This book focuses on a music-inspired metahe...
In this study, a solution algorithm which is based on meta-heuristic harmony search algorithm is use...
This paper presents a comprehensive overview of the development of the harmony search (HS) algorithm...
Harmony search algorithm (HSA) is relatively considered as one of the most recent metaheuristic algo...
In this study, a solution model is proposed to obtain input ground motion datasets compatible with g...
In this chapter an improved version of harmony search algorithm called an adaptive harmony search al...
Inspired by the improvisation process of music players, a population-based meta-heuristic algorithm-...
Variational principle is an important principle in engineering discipline. This principle is suitabl...
A Harmony Search (HS) algorithm is a population based-meta-heuristics approach that is superior in ...
Harmony search algorithm is the recently developed metaheuristic in the last decade. It mimics the b...
Slope stability analysis is undoubtedly one of the most complex problems in geotechnical engineering...
The Harmony Search (HS) algorithm appeared around the year 2000 and it now has a substantial literat...
The Harmony Search (HS) draws its inspiration not from a biological or physical process like most ot...
AbstractSince the Harmony Search Algorithm (HSA) was first introduced in 2001, it has drawn a world-...
The theoretical analysis of evolutionary algorithms is believed to be very important for understandi...
There exists an analogy between music and optimization. This book focuses on a music-inspired metahe...
In this study, a solution algorithm which is based on meta-heuristic harmony search algorithm is use...
This paper presents a comprehensive overview of the development of the harmony search (HS) algorithm...
Harmony search algorithm (HSA) is relatively considered as one of the most recent metaheuristic algo...
In this study, a solution model is proposed to obtain input ground motion datasets compatible with g...
In this chapter an improved version of harmony search algorithm called an adaptive harmony search al...
Inspired by the improvisation process of music players, a population-based meta-heuristic algorithm-...