Metaheuristic optimisation methods constitute a class of algorithmic strategies inspired by natural processes, designed to tackle complex and often non-convex optimisation problems. When embedded ...

KAWASAKI, Japan--(BUSINESS WIRE)--Toshiba Corporation has developed a breakthrough algorithm that dramatically boosts the performance of the Simulated Bifurcation Machine (SBM), its proprietary ...

Abstract: This paper describes the use of a new swarm-based metaheuristic, namely Krill Herd Algorithm (KHA), in computer gaming. In this work, KHA is employed to find a bots movement strategy in a ...

Metaheuristic Development Framework – Simplifies the creation of custom metaheuristics. Hyperparameter Optimization Tools – Supports both layer and architecture-level tuning in deep learning.

ABSTRACT: The advanced persistent threat (APT) is an ever-growing issue in cybersecurity, whose emergence and evolution have been accompanied by technological advancement. The study describes an ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

We recommend conducting performance analysis on the current code to identify bottlenecks and implement appropriate optimizations. Consider using profiling tools to locate slow queries or inefficient ...

Researchers at FIU’s College of Engineering and Computing have developed an encryption algorithm to defend videos from attackers with access to the world's most powerful computers. The encryption ...

Abstract: In this paper, a comparative analysis of the most popular metaheuristic optimization algorithms used for maximum power point tracking (MPPT) in the case of partial shading conditions (PSC) ...

A quantum computer can solve optimization problems faster than classical supercomputers, a process known as “quantum advantage” and demonstrated by a USC researcher in a paper recently published in ...