As the world moves towards industrialization, optimization problems become more
challenging to solve in a reasonable time. More than 500 new metaheuristic algorithms …

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

In recent algorithmic family simulates different biological processes observed in Nature in
order to efficiently address complex optimization problems. In the last years the number of …

A back-propagation (BP) neural network can solve complicated random nonlinear mapping
problems; therefore, it can be applied to a wide range of problems. However, as the sample …

We propose a new meta-heuristic algorithm named Levy flights multi-verse optimizer
(LFMVO), which incorporates Levy flights into multi-verse optimizer (MVO) algorithm to solve …

Disasters are prone to occur in Indonesia due to geographical factors, such as tectonic plate
movements, which can cause an earthquake. Earthquakes are one of the most frequent …

Feature selection (FS) is a critical step in many data science-based applications, especially
in text classification, as it includes selecting relevant and important features from an original …

Visual sensory has attracted much researches in many applications. This specifically for a
pointing target tracking platform such as gun turret. Existing works, which use only visual …

The digital data consumed by the average user daily is huge now and is increasing daily all
over the world, which requires sophisticated methods to automatically process data, such as …

Humanoid Soccer Robot is one of the divisions in the Robocup Competition. Robocup is an
organization that focuses on research and development of soccer robots. With the aim to …