Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...

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: ...

A month of efforts to help a stranded humpback escape the Baltic Sea have culminated in a tourist and media spectacle, with no guarantee of success. By Jim Tankersley Reporting from Poel, a German ...

COPALIS BEACH, Wash — Two dead gray whales washed ashore on Copalis Beach on Thursday night, according to the Washington Department of Fish and Wildlife (WDFW). Beachgoer Shelly Conwell captured ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Abstract: To address the issues of uneven initial population distribution and the tendency to get trapped in local optima in the standard Whale Optimization Algorithm (WOA), this paper proposes an ...

Whale Optimization Algorithms (WOA) represent a class of bio-inspired metaheuristic methods that emulate the bubble-net feeding behaviour of humpback whales to tackle complex global optimisation ...

Deep in the Pacific, humans have tracked a mysterious whale’s call for decades—but no other whale seems to respond. And now, we might be running out of time to find the source. As far as deep-sea ...

Abstract: The whale optimization algorithm (WOA) is a natural-inspired effective optimization algorithm by imitating the behavior of whales rounding up their prey. Due to the high capacity of WOA in ...