Optimization

• means the selection of the best solution, concerning a particular criterion, from a set of available alternatives.

• problems arise in all quantitative disciplines from computer science and engineering to operations research and economics.

• An optimization problems consists of maximizing or minimizing a function by systematically choosing input values from all allowed sets and computing the value of the function.

• An example of using optimization is to maximize your business’s profit and minimize its risks. We will provide you with the best choice from the set of all available alternatives that guarantee the highest gain.

• Single and multi-objective optimization and constrained optimization algorithms are different from machine learning algorithms and they are not data-centric, We use state-of-the-art optimization algorithms from mathematics and other metaheuristic techniques like evolutionary algorithms. Moreover, we use swarm, physics, and biology-inspired algorithms like Simulated Annealing, Artificial immune System Algorithms, Genetic Algorithms, Ant Colony Optimization, Cuckoo Search, etc. This arsenal of algorithms, among others, are used to provide the highest performance for our optimization engine.