Abstract: The artificial bee colony (ABC) algorithm, inspired by the cooperative foraging behaviors observed in bees, is a prominent example of a swarm intelligence algorithm that offers significant ...

Abhik Biswas is the Co-Founder and CTO at Prakat Solutions Inc, writes to bridge scientific insights with practical engineering. Nature is not merely a source of inspiration for designers and ...

In an era of abundant AI processing, "integral thinking" — the human ability to synthesize insights across diverse domains — is the new essential strategic scarcity. For most of human history, the ...

As cities worldwide accelerate toward electrification and decarbonization, the convergence of distributed energy resources and electric mobility is reshaping the architecture of modern power systems.

This article appears in the new issue of DEN OF GEEK magazine. You can read all of our magazine stories here. For centuries, our ideas about the future have been shaped by science fiction. From Mary ...

Reactor radiation-shielding optimization methods are proposed by combining many-objective evolutionary algorithms with particle-transport calculation software that can optimize the reactor ...

The research team (NEAL) from the University of South China has made significant progress in nuclear reactor radiation-shielding design. The team has developed a radiation-shielding optimization ...

With the development of artificial intelligence, numerous researchers are attracted to study new heuristic algorithms and improve traditional algorithms. Artificial bee colony (ABC) algorithm is a ...

This study introduces and compares two optimization techniques, the basic Artificial Bee Colony (ABC) and the enhanced Artificial Bee Colony with multi-elite guidance (MGABC), for determining optimal ...

A memristor is a non-linear element. The chaotic system constructed by it can improve its unpredictability and complexity. Parameter identification of a memristive chaotic system is the primary task ...

Abstract: In practical engineering optimization problems (such as risk assessments), the parameters of the objective functions can be intervals because of noise and uncertainty; however, such problems ...