Optimization is the process of making a system, design, or decision as effective or functional as possible by adjusting variables to find the best possible solution within given constraints. It is widely used across various fields such as mathematics, engineering, economics, and computer science to enhance performance and efficiency.
Search space refers to the domain or set of all possible solutions that an algorithm explores to find the optimal solution to a problem. Its complexity and size can significantly impact the efficiency and effectiveness of search algorithms, necessitating strategies like pruning or heuristics to manage exploration.
Global convergence refers to the process where different economies, technologies, and cultures around the world become more interconnected and similar, often driven by globalization, technological advancements, and international trade. This phenomenon can lead to increased economic growth and cultural exchange, but may also raise concerns about cultural homogenization and economic inequality.