Outrageously Funny Word Definitions :: Evolution Computing

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What is the definition of Evolution Computing? 🙋

👉 Evolutionary computing is a subset of artificial intelligence that draws inspiration from biological evolution, particularly natural selection and genetic processes. It involves algorithms that simulate the mechanisms of evolution, such as mutation, crossover (recombination), and selection, to solve optimization and search problems. These algorithms start with a population of candidate solutions, each represented as a set of parameters or "individuals." Over successive generations, the algorithm evaluates the fitness of each solution based on a predefined objective function. Solutions with higher fitness are more likely to be selected for reproduction, combining their features through crossover and introducing variations via mutation to create new offspring. This iterative process continues until a satisfactory solution is found or a predefined stopping criterion is met. Evolutionary computing has been applied to a wide range of fields, from engineering design and robotics to machine learning and bioinformatics, demonstrating its versatility and effectiveness in tackling complex problems where traditional methods may struggle.


evolution computing

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What is the definition of Revolution Computing? 🙋

👉 Revolutionary computing, often referred to as quantum computing, represents a paradigm shift in how we process information by leveraging the principles of quantum mechanics. Unlike classical computers, which use bits as the smallest unit of data (represented as either 0 or 1), quantum computers use qubits, which can exist in multiple states simultaneously thanks to superposition. This allows quantum computers to perform complex calculations at unprecedented speeds for certain types of problems, such as factoring large numbers, simulating molecular structures, and optimizing large systems. Additionally, quantum entanglement enables qubits that are entangled to instantaneously affect each other, regardless of distance, potentially leading to exponential improvements in computational power. While still in its nascent stages, revolutionary computing holds the promise of transforming fields from cryptography and materials science to artificial intelligence and drug discovery.


revolution computing

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