This paper introduces a new method called the Mayfly Algorithm (MA) to solve optimization
problems. Inspired from the flight behavior and the mating process of mayflies, the proposed …

In order to efficiently solve the binary optimization problems by using differential evolution
(DE), a class of new transfer functions, Taper-shaped transfer function, is firstly proposed by …

Recent years have witnessed the use of metaheuristic algorithms to solve the optimization
problems that usually require extensive computations and time. Among others, scatter …

The distributed flow shop scheduling problem has become one of the key problems related
to the high efficiency impacted factor in the manufacturing industry due to its typical …

The coati optimization algorithm (COA) is a recently proposed heuristic algorithm. The COA
algorithm, which solved the continuous optimization problems in its original paper, has been …

In order to find efficient solutions to real complex world problems, computer sciences and
especially heuristic algorithms are often used. Heuristic algorithms can give optimal …

Real world combinatorial optimization problems arise in very-large-scale. Solving such
problems to optimality is impractical. In the past several decades, different heuristics and …

Performance of convergence to the optimum value is not completely a known process due to
characteristics of the considered design problem and floating values of optimization …

Metaheuristics, providing high level guidelines for heuristic optimisation, have successfully
been applied to many complex problems over the past decades. However, their …

Uncapacitated facility location problems (UFLPs) deal with the selection of facilities and
assignment of customers to them. Two level UFLPs (TUFLPs) consider an additional level of …