What is Adaptive Binary Optimization?

In mathematical invariant theory, an invariant of a binary form is a polynomial in the coefficients of a binary form in two variables x and y that remains invariant under...

Adaptive dimensional search algorithms differ from nature-inspired metaheuristic techniques in the sense that they do not use any metaphor as an underlying principle for implementation. Rather, they utilize a simple,...

Production optimization is the practice of making changes or adjustments to a product to make it more desirable.

An Interacting binary star is a type of binary star in which one or both of the component stars has filled or exceeded its Roche lobe. When this happens, material...

Wing-shape optimization is a software implementation of shape optimization primarily used for aircraft design. This allows for engineers to produce more efficient and cheaper aircraft designs.

Train speed optimization, also known as Zuglaufoptimierung, is a system that reduces the need for trains to brake and accelerate, resulting in smoother and more efficient operation. While train speed...

In compiler theory, loop optimization is the process of increasing execution speed and reducing the overheads associated with loops. It plays an important role in improving cache performance and making...

Interprocedural optimization is a collection of compiler techniques used in computer programming to improve performance in programs containing many frequently used functions of small or medium length. IPO differs from...

Within reconfigurable computing, an Adaptive architecture is a system which changes its structure, behaviour or resources according to demand. The adaptation made is usually to non-functional characteristics rather than functional...

Multi-swarm optimization is a variant of particle swarm optimization based on the use of multiple sub-swarms instead of one swarm. The general approach in multi-swarm optimization is that each sub-swarm...