Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

At ISCAS 2026, He Tingbo, who leads Huawei's semiconductor business, unveiled the Tau (τ) Scaling Law, a framework that ...

At the core of Industry 4.0, the smart factory integrates automation, mass customization, and self-organization into a highly ...

HBR revives “maximizing shareholder value”—what Jack Welch called "the dumbest idea in the world"—treating customers as ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.

Abstract: Constrained multi-objective problems (CMOPs) are tricky, because it is difficult to handle multiple objectives and constraints simultaneously. Most existing algorithms perform well on CMOPs ...

UAV swarms have shown immense potential for applications ranging from disaster response to military reconnaissance, but ensuring reliable communication in contested environments has remained a ...

This package offers an interface for objective functions in the context of (multi-objective) global optimization. It conveniently builds up on the S3 objects, i. e., an objective function is a S3 ...

On August 15, 2025, the Honourable Tim Hodgson, Canada’s Minister of Energy and Natural Resources, announced an investment of over $13 million for five projects that will contribute to electricity ...

Biogeography-based optimization (BBO) is an intelligent evolutionary algorithm based on biological populations, increasing the optimization search ability by adaptive migration operation. However, the ...