Research in metaheuristics for global optimization problems are currently experiencing an
overload of wide range of available metaheuristic-based solution approaches. Since the …

Activity-based scheduling optimization is a combinatorial problem built on the traveling
salesman problem intending to optimize people schedules considering their trips and the …

Ant Lion Optimizer (ALO) is a recent novel algorithm developed in the literature that
simulates the foraging behavior of a Ant lions. Recently, it has been applied to a huge …

Metaheuristic algorithms have been an interesting area for researchers, scientists and
academicians due to their specific and significant characteristics and capabilities. Their …

A more efficient optimization algorithm has always been the pursuit of researchers, but the
performance of the current optimization algorithm in some complex test functions is not …

Metaheuristic algorithms have been an interesting and widely used area for scientists,
researchers and academicians because of their specific and significant characteristics and …

Purpose Metaheuristic algorithms have been commonly used as an optimisation tool in
various fields. However, optimisation of real-world problems has become increasingly …

Many classical search and optimization algorithms are especially insufficient in solving very
hard large scale nonlinear problems with stringent constraints. Hence, computational …

In this study, the dandelion optimizer (DO) is examined for the optimum design of structures.
The results of the optimization process show that DO does not have good performance in the …

In the last years, the application of standard optimization algorithms, presented results
typically inefficient in the solution of some problems, especially in non-linear (NP-hard) …