In this work, meta-heuristic algorithms such as, artificial bee colony, harmony search and gravitational search are deployed to improve the performance of the tree structured filter bank.
Most people prefer the thought of talking to actual humans when it comes to customer service--but the goal of DigitalGenius is to combine the best of both worlds, using human and artificial intelligence in harmony.
The comparative analysis of the results obtained for the two case studies suggests that genetic, artificial bee colony and harmony search algorithms can each be successively tuned with control parameters to achieve those objectives, whereas the ant colony algorithm cannot.
Genetic, ant colony, artificial bee colony and harmony search algorithms are evaluated to seek the best performance among them with respect to minimizing well-path length and also minimizing computation time taken to converge toward global optima for two horizontal wellbore cases: (1) a real well offshore Iran; (2) a well-studied complex trajectory with several build and hold sections.
The considered EAs are: GA, continuous ant colony optimization (CACO), particle swarm optimization (PSO), differential evolution (DE), artificial bee colony optimization (ABC), harmony search (HS), shuffled complex evolution (SCE), and simplex simulated annealing (SIMPSA).
To improve the performance of the CSD rounded filters and filter bank, meta-heuristic algorithms such as the artificial bee colony (ABC) algorithm, harmony search algorithm (HSA) and gravitational search algorithm (GSA) are deployed.
Only humans should be in harmony with nature and artificial production system, particularly industry, should not destroy natural planetary cycles.
The results are compared to other metaheuristics such as the particle swarm optimization (PSO2011), artificial bee colony (ABC), differential evolution (DE) and harmony search (HS) algorithms.
The metaheuristic optimization algorithms evaluated, in terms of wellbore designs of a complex trajectory subject to constraints, are: genetic algorithm (GA), artificial bee colony (ABC), ant colony optimization (ACO) and harmony search (HS).
We live in this continuous tension and harmony between the natural systems and the artificial systems we create.
