This paper proposes a new parallel evolutionary algorithm called parallel quantum-inspired genetic algorithm (PQGA). Quantum-inspired genetic algorithm (QGA) is based on the concept and principles of ...

A new approach is presented to solve the nonlinear constrained optimization problem. It neither uses any penalty function nor distinguishes the feasible solutions and the infeasible solutions. Firstly ...

A hybrid intelligent algorithm integrating Q-learning is innovatively designed, using a genetic algorithm as the main framework while embedding a quay crane allocation module and dynamically selecting ...

In this thesis work, a UAVs-based parcel delivery problem is formulated and a Genetic Algorithm (GA) is proposed for solving the formulated task assignment problem for a fleet of heterogeneous UAVs.

An interactive web app for visualizing and optimizing solutions using genetic algorithms, featuring customizable parameters, real-time visualizations, and support for various objective functions.

In section 2, we describe the normal contact problem, the surface roughness genome, the features of a single length scale of roughness, and the roughness reconstruction over multiple length scales. In ...