[HTML][HTML] Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms
Metaheuristics are popularly used in various fields, and they have attracted much attention
in the scientific and industrial communities. In recent years, the number of new metaheuristic …
in the scientific and industrial communities. In recent years, the number of new metaheuristic …
A tutorial on the design, experimentation and application of metaheuristic algorithms to real-world optimization problems
In the last few years, the formulation of real-world optimization problems and their efficient
solution via metaheuristic algorithms has been a catalyst for a myriad of research studies. In …
solution via metaheuristic algorithms has been a catalyst for a myriad of research studies. In …
Metaheuristics in nature-inspired algorithms
MA Lones - Proceedings of the Companion Publication of the 2014 …, 2014 - dl.acm.org
To many people, the terms nature-inspired algorithm and metaheuristic are interchangeable.
However, this contemporary usage is not consistent with the original meaning of the term …
However, this contemporary usage is not consistent with the original meaning of the term …
Recent advances and application of metaheuristic algorithms: A survey (2014–2020)
N Khanduja, B Bhushan - Metaheuristic and evolutionary computation …, 2021 - Springer
Metaheuristic optimization is a higher-level optimization that uses a simple and efficient
procedure to solve optimization problems. Metaheuristic can understand higher-level …
procedure to solve optimization problems. Metaheuristic can understand higher-level …
A brief review of nature-inspired algorithms for optimization
Swarm intelligence and bio-inspired algorithms form a hot topic in the developments of new
algorithms inspired by nature. These nature-inspired metaheuristic algorithms can be based …
algorithms inspired by nature. These nature-inspired metaheuristic algorithms can be based …
Metaheuristics: a comprehensive overview and classification along with bibliometric analysis
Research in metaheuristics for global optimization problems are currently experiencing an
overload of wide range of available metaheuristic-based solution approaches. Since the …
overload of wide range of available metaheuristic-based solution approaches. Since the …
An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …
Review of meta-heuristics and generalised evolutionary walk algorithm
XS Yang - International Journal of Bio-Inspired …, 2011 - inderscienceonline.com
Meta-heuristic algorithms are often nature-inspired, and they are becoming very powerful in
solving global optimisation problems. More than a dozen major meta-heuristic algorithms …
solving global optimisation problems. More than a dozen major meta-heuristic algorithms …
[PDF][PDF] EvoloPy: An open-source nature-inspired optimization framework in python.
EvoloPy is an open source and cross-platform Python framework that implements a wide
range of classical and recent nature-inspired metaheuristic algorithms. The goal of this …
range of classical and recent nature-inspired metaheuristic algorithms. The goal of this …
Metaheuristic research: a comprehensive survey
Because of successful implementations and high intensity, metaheuristic research has been
extensively reported in literature, which covers algorithms, applications, comparisons, and …
extensively reported in literature, which covers algorithms, applications, comparisons, and …