The shortcomings of both mathematical and heuristic methods encouraged many researchers to study
metaheuristic approaches in order to find more reliable optimization alternatives in solving resource leveling problems.
PESHAWAR -- A PhD Research Scholar Sadiq Akbar has submitted thesis on 'Parameter Estimation of Electromagnetic Plane Waves Using Novel Adoptive
Metaheuristic Techniques' to the University of Peshawar for award of degree of Doctor of Philosophy (Ph.D) in Electronics.
The findings based on multiple regression model verified that the
metaheuristic algorithms produced that more accurate and faster results for estimation of excitation current than other existing approaches.
Task scheduling problems in the cloud have been tackled using heuristic and
metaheuristic algorithms.
Ant Colony Optimization (ACO) is a
metaheuristic optimization based on a probabilistic technique, proposed by Marco Dorigo in his PhD thesis in 1992 [21].
They also consider some special topics, among them local anesthetics classification: artificial intelligence information entropy, and applying an artificial neural network and
metaheuristic algorithm in applied chemistry and chemical engineering.
We can also see that a lot of researchers use simulation environment to create and test new
metaheuristic approaches such as Shuffled frog-leaping algorithm [11,12], Intelligent water drops algorithm [13-15], Cloud-Entropy enhanced genetic algorithm [16] and so on [17].
Tabu search is a
metaheuristic search method employing local search methods used for mathematical optimization.
Therefore, two
metaheuristic algorithms of GA and ACO have been proposed for its solution.
Here, various
metaheuristic optimization [1] algorithms prove to be quite successful.