Abstract Marine Predators Algorithm (MPA) is the existing population-based meta-heuristic
algorithms that falls under the category of Nature-Inspired Optimization Algorithm (NIOA) …

There have been many algorithms created and introduced in the literature inspired by
various events observable in nature, such as evolutionary phenomena, the actions of social …

Over the years, the study on logic mining approach has increased exponentially. However,
most logic mining models disregarded any efforts in expanding the search space which led …

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 …

Whale optimization algorithm (WOA), as an advanced optimization algorithm with simple
structure, has been favored by various fields. However, there are some disadvantages of …

The paper proposes a novel metaheuristic Socio Evolution & Learning Optimization
Algorithm (SELO) inspired by the social learning behaviour of humans organized as families …

In this paper, a human-inspired optimization algorithm called stock exchange trading
optimization (SETO) for solving numerical and engineering problems is introduced. The …

Abstract Wireless Sensor Networks (WSNs) play a crucial role in Precision Agriculture by
providing real-time data on various environmental parameters like temperature, humidity …

Single-solution-based optimization algorithms are computationally cheap yet powerful
methods that can be used on various optimization tasks at minimal processing expenses …

Abstract Social Group Optimization (SGO), developed by Satapathy et al. in the year 2016, is
a class of meta-heuristic optimization inspired by social behavior. It has two phases …