Multi-strategy improved dung beetle optimization algorithm and its applications
The dung beetle optimization (DBO) algorithm, a swarm intelligence-based metaheuristic, is
renowned for its robust optimization capability and fast convergence speed. However, it also …
renowned for its robust optimization capability and fast convergence speed. However, it also …
Dynamic Random Walk and Dynamic Opposition Learning for Improving Aquila Optimizer: Solving Constrained Engineering Design Problems
One of the most important tasks in handling real-world global optimization problems is to
achieve a balance between exploration and exploitation in any nature-inspired optimization …
achieve a balance between exploration and exploitation in any nature-inspired optimization …
Hybridizing remora and aquila optimizer with dynamic oppositional learning for structural engineering design problems
To solve global optimization problems, the Aquila Optimizer (AO) algorithm was created
recently and is based on the hunting habits of Aquila birds. The Remora Optimization …
recently and is based on the hunting habits of Aquila birds. The Remora Optimization …
A Hybrid Approach Based on LMP and VCG Mechanism to Create a Positive Interaction Between Distribution Companies and Owners of DG Units
Nowadays, with the expansion of electric energy distribution networks and the increasing
penetration of distributed generation (DG) units in these systems, the existence of a solution …
penetration of distributed generation (DG) units in these systems, the existence of a solution …