Abstract: The Internet of Vehicles (IoV) presents significant challenges for path planning algorithms in dynamic traffic environments. This article proposes the Dynamic Cooperative Whale Optimization ...

Abstract: The whale optimization algorithm (WOA) has been shown to be powerful in searching for an optimal solution. This paper proposes an improvement to the whale optimization algorithm that is ...

On standard, cache-miss pricing, DeepSeek-V4-Pro comes in at roughly one-seventh the cost of GPT-5.5 and about one-sixth (1/6th) the cost of Claude Opus 4.7. With cached input, the gap widens: ...

Metaheuristic algorithms are a class of algorithms used to solve complex optimization problems by employing search and optimization techniques to find the best or near-optimal solutions. Over the past ...

In today's era of rapid technological advancement, optimization algorithms play a pivotal role in solving complex problems across various domains, from engineering and finance to healthcare and ...

The whale optimization algorithm has received much attention since its introduction due to its outstanding performance. However, like other algorithms, the whale optimization algorithm still suffers ...

In response to the shortcomings of the Salp Swarm Algorithm (SSA) such as low convergence accuracy and slow convergence speed, a Multi-Strategy-Driven Salp Swarm Algorithm (MSD-SSA) was proposed.

Dr. Pradeep Jangir and Narottam Jangir, “Non-Dominated Sorting Whale Optimization Algorithm (NSWOA): A Multi-Objective Optimization algorithm for Solving Engineering Design Problems”, GJRE, vol. 17, ...

The death of a woman hit by a self-driving car highlights an unfolding technological crisis, as code piled on code creates ‘a universe no one fully understands’ The 18th of March 2018, was the day ...