Genetic algorithm (GA) is an artificial intelligence search method that uses the process of
evolution and natural selection theory and is under the umbrella of evolutionary computing …

Differential Evolution (DE) is a state-of-the art global optimization technique. Considerable
research effort has been made to improve this algorithm and apply it to a variety of practical …

Parameter tuning, that is, to find appropriate parameter settings (or configurations) of
algorithms so that their performance is optimized, is an important task in the development …

The shortage of relief vehicles capacity is a common issue throughout disastrous situations
due to the abundance of injured people who need urgent medical aid. Hence, ambulances …

More than a decade after the first extensive overview on parameter control, we revisit the
field and present a survey of the state-of-the-art. We briefly summarize the development of …

Hyper-heuristics comprise a set of approaches that are motivated (at least in part) by the
goal of automating the design of heuristic methods to solve hard computational search …

Adaptive operator selection (AOS) is used to determine the application rates of different
operators in an online manner based on their recent performances within an optimization …

Many software engineering problems have been addressed with search algorithms. Search
algorithms usually depend on several parameters (eg, population size and crossover rate in …

Now-a-days fake news have become part and parcel of our everyday life due to its quick
spreading in different social media. Fake news identification has been emerging as an …

Memetic Algorithms (MAs) are computational intelligence structures combining multiple and
various operators in order to address optimization problems. The combination and …