A systematic review on harmony search algorithm: theory, literature, and applications
Harmony search algorithm is the recently developed metaheuristic in the last decade. It
mimics the behavior of a musician producing a perfect harmony. It has been used to solve …
mimics the behavior of a musician producing a perfect harmony. It has been used to solve …
Comprehensive review of the development of the harmony search algorithm and its applications
This paper presents a comprehensive overview of the development of the harmony search
(HS) algorithm and its applications. HS is a well-known human-based meta-heuristic …
(HS) algorithm and its applications. HS is a well-known human-based meta-heuristic …
A new hybrid algorithm based on grey wolf optimization and crow search algorithm for unconstrained function optimization and feature selection
Grey wolf optimizer (GWO) is a very efficient metaheuristic inspired by the hierarchy of the
Canis lupus wolves. It has been extensively employed to a variety of practical applications …
Canis lupus wolves. It has been extensively employed to a variety of practical applications …
A survey on applications of the harmony search algorithm
This paper thoroughly reviews and analyzes the main characteristics and application
portfolio of the so-called Harmony Search algorithm, a meta-heuristic approach that has …
portfolio of the so-called Harmony Search algorithm, a meta-heuristic approach that has …
A tabu search hyper-heuristic strategy for t-way test suite generation
This paper proposes a novel hybrid t-way test generation strategy (where t indicates
interaction strength), called High Level Hyper-Heuristic (HHH). HHH adopts Tabu Search as …
interaction strength), called High Level Hyper-Heuristic (HHH). HHH adopts Tabu Search as …
Review of nature inspired metaheuristic algorithm selection for combinatorial t-way testing
The metaheuristic algorithm is a very important area of research that continuously improves
in solving optimization problems. Nature-inspired is one of the metaheuristic algorithm …
in solving optimization problems. Nature-inspired is one of the metaheuristic algorithm …
An experimental study of hyper-heuristic selection and acceptance mechanism for combinatorial t-way test suite generation
Recently, many meta-heuristic algorithms have been proposed to serve as the basis of a t-
way test generation strategy (where t indicates the interaction strength) including Genetic …
way test generation strategy (where t indicates the interaction strength) including Genetic …
A hybrid Q-learning sine-cosine-based strategy for addressing the combinatorial test suite minimization problem
The sine-cosine algorithm (SCA) is a new population-based meta-heuristic algorithm. In
addition to exploiting sine and cosine functions to perform local and global searches (hence …
addition to exploiting sine and cosine functions to perform local and global searches (hence …
Constrained interaction testing: A systematic literature study
Interaction testing can be used to effectively detect faults that are otherwise difficult to find by
other testing techniques. However, in practice, the input configurations of software systems …
other testing techniques. However, in practice, the input configurations of software systems …
Hybrid flower pollination algorithm strategies for t-way test suite generation
The application of meta-heuristic algorithms for t-way testing has recently become prevalent.
Consequently, many useful meta-heuristic algorithms have been developed on the basis of …
Consequently, many useful meta-heuristic algorithms have been developed on the basis of …