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 …
[HTML][HTML] 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 …
Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts
Y Yang, H Chen, AA Heidari, AH Gandomi - Expert Systems with …, 2021 - Elsevier
A recent set of overused population-based methods have been published in recent years.
Despite their popularity, most of them have uncertain, immature performance, partially done …
Despite their popularity, most of them have uncertain, immature performance, partially done …
[HTML][HTML] A survey on data‐efficient algorithms in big data era
A Adadi - Journal of Big Data, 2021 - Springer
The leading approaches in Machine Learning are notoriously data-hungry. Unfortunately,
many application domains do not have access to big data because acquiring data involves a …
many application domains do not have access to big data because acquiring data involves a …
[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 …
Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
Artificial intelligence and all its supporting tools, eg machine and deep learning in
computational intelligence-based systems, are rebuilding our society (economy, education …
computational intelligence-based systems, are rebuilding our society (economy, education …
Orthogonal Nelder-Mead moth flame method for parameters identification of photovoltaic modules
Defining the optimal parameters of the photovoltaic system (PV) models according to the
actual real voltage and current data is a crucial process during designing, emulating …
actual real voltage and current data is a crucial process during designing, emulating …
[HTML][HTML] A prescription of methodological guidelines for comparing bio-inspired optimization algorithms
Bio-inspired optimization (including Evolutionary Computation and Swarm Intelligence) is a
growing research topic with many competitive bio-inspired algorithms being proposed every …
growing research topic with many competitive bio-inspired algorithms being proposed every …
Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature
Cluster analysis is an essential tool in data mining. Several clustering algorithms have been
proposed and implemented, most of which are able to find good quality clustering results …
proposed and implemented, most of which are able to find good quality clustering results …
Binary chimp optimization algorithm (BChOA): a new binary meta-heuristic for solving optimization problems
Chimp optimization algorithm (ChOA) is a newly proposed meta-heuristic algorithm inspired
by chimps' individual intelligence and sexual motivation in their group hunting. The …
by chimps' individual intelligence and sexual motivation in their group hunting. The …