El objetivo del estudio fue evaluar la incidencia de la aplicación de las funciones
trigonométricas en modo heurístico, en el desarrollo cognitivo de los adolescentes de Cauri …

Metaheuristics are commonly used to solve complex and challenging problems, particularly
in electrical system applications. Nevertheless, there is a colorful palette of metaheuristics to …

It is common to find multiple metaheuristics to solve continuous optimization problems.
However, choosing what optimizer may obtain the best results for a given task requires …

Metaheuristics (MHs) are proven powerful algorithms for solving non-linear optimisation
problems over discrete, continuous, or mixed domains. Applications have ranged from basic …

When dealing with optimisation problems, Metaheuristics (MHs) quickly come to our minds.
A quick literature review reveals a vast universe of MHs. Although the metaphors behind …

Featured Application To determine the optimal locations of fire stations considering the risk
of system collapse. Abstract Recent increases in incidents make it unlikely for emergency …

In previous work, algorithms have been decomposed into basic algorithmic components and
then recomposed into brand new algorithms using a genetic algorithm. The algorithm is …

Effective optimization of model variables is essential yet demanding in engineering and
industrial processes. Metaheuristics (MHs) offer a proficient approach, but their design and …

Heat sinks are a prevalent and direct solution for addressing the Microelectronic Thermal
Management Problem (MTMP), which is critical in today's electronic industry. Specifi-cally …

Metaheuristics have become popular tools for solving complex optimization problems;
however, the overwhelming number of tools and the fact that many are based on metaphors …