Optimization is the process of finding the best solution to a problem by specific rules 1. Traditional optimization techniques need to satisfy the preconditions of continuity and differentiability of ...

To endow the prey with intelligent movement behavior and improve the performance of Golden Jackal Optimization (GJO), a Q-learning Improved Gold Jackal Optimization (QIGJO) algorithm is proposed. This ...

There are, generally speaking, two types of people in the mathematical optimization software field: • Optimization solver developers: The technical experts who devise and implement the algorithms that ...

The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in data-processing bottlenecks, as ever greater amounts of data must be shuttled back ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

Applying optimization and a graded approach to industrial processes involving naturally occurring radioactive material (NORM) is crucial for ensuring radiation safety, efficiency and regulatory ...

The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität Berlin ...

Optimization problems can be tricky, but they make the world work better. These kinds of questions, which strive for the best way of doing something, are absolutely everywhere. Your phone’s GPS ...

Quantum computing, which has been around for decades, has been generating a lot of buzz in the business world recently. The hype surrounding quantum computers has hit a fever pitch, and investment in ...