Throughout the centuries, nature has been a source of inspiration, with much still to learn
from and discover about. Among many others, Swarm Intelligence (SI), a substantial branch …

From the past few decades many nature inspired algorithms have been developed and
gaining more popularity because of their effectiveness in solving problems of distinct …

Optimization in computationally expensive numerical problems with limited function
evaluations provides computational advantages over constraints based on runtime …

The integration of renewable energy sources into smart grids offers a promising solution for
building sustainable and reliable energy systems. However, optimizing hybrid renewable …

Unmanned aerial vehicle (UAV) path planning problem is an important component of UAV
mission planning system, which needs to obtain optimal route in the complicated field. To …

Metaheuristics are widely recognized as efficient approaches for many hard optimization
problems. This paper provides a survey of some of the main metaheuristics. It outlines the …

This paper introduces the Backtracking Search Optimization Algorithm (BSA), a new
evolutionary algorithm (EA) for solving real-valued numerical optimization problems. EAs …

The path planning of unmanned aerial vehicle (UAV) in three-dimensional (3D) environment
is an important part of the entire UAV's autonomous control system. In the constrained …

In this paper, we propose a new particle swarm optimization algorithm incorporating the best
human learning strategies for finding the optimum solution, referred to as a Self Regulating …

The analysis of robot inverse kinematic solutions is the basis of robot control and path
planning, and is of great importance for research. Due to the limitations of the analytical and …