In this paper, a decomposition-based artificial bee colony (ABC) algorithm is proposed to handle many-objective optimization problems (MaOPs). In the proposed algorithm, an MaOP is converted into a ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, explains how it builds on Adam with Nesterov momentum, and shows you how to ...

Photos of Malaysia's health minister Dzulkefly Ahmad and a former government official have been manipulated with AI and shared in social media posts advertising an unauthorised joint cream -- which ...

Sir — A new study reveals that bumblebees maintain their health by balancing protein, fat and carbohydrate intake through clever pollen choices. Apparently, bees have cracked the code that humans, ...

This repository provides a BoTorch/GPyTorch implementation of the BEEBO acquisition function for batched Bayesian Optimization. The BEE-BO acquisition function is fully compatible with BoTorch and is ...

A series of simulation codes used to emulate quantum-like networks in the simulation of emergent adaptive behavior, such as network synchronization, and relate the nature of the coupled harmonic ...

Concrete is one of the most commonly used materials in construction engineering, and its compressive strength is an important reference index for structural design and construction. As a multiphase ...

Wildlife biologist Ian Bartoszek examines the mating ball of pythons that was discovered in southwest Florida with the help of one male snake fitted with a tracking implant. Conservancy of Southwest ...

Abstract: The bee-identification problem, formally defined by Tandon, Tan, and Varshney (2019), requires the receiver to identify “bees” using a set of unordered ...

It took the hunters more than three minutes to bring the snake under control, according to Jake Waleri. Video screengrab A record-setting Burmese python was captured in remote South Florida, ...

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.