A family tree and a summary table based on this classification are palgorithms. View chapter Review article Intelligent modeling strategies for forecasting air quality time series: A review Applied Soft Computin
In this chapter, we presented an overview of metaheuristic algorithms applied in several problems of phase equilibrium calculation, particularly in: (1) the prediction of reactive azeotropy (mainly when two reactive azeotropes occur); and (2) the calculation of dew point pressures in systems with...
As a result of the above characteristics, the use of metaheuristic algorithms, and particularly of Genetic Algorithms (GAs), has become very popular for their application in WEC geometry optimisation problems. That is, they are better suited to solve complex problems, are able to find solutions ...
Research in metaheuristics for global optimization problems are currently experiencing an overload of wide range of available metaheuristic-based solution
the packets need to go through the system from one hub to the others and in this way offer ascent to idea of inter VANET data handovers and VDTP (Vehicular Data Transport Protocol). In this work, we have tended to the utility of metaheuristic algorithms (PSO, GA) for bury VANET sensor...
In many applications, the complexity and nonlinearity of the problems require novel and alternative approaches to problem solving. In recent years, nature-inspired algorithms, especially those based on swarm intelligence, have become popular, due to the simplicity and flexibility of such algorithms. Her...
reticalunderstandingofpropertiesofACOalgorithms.Thischapterreviewsthese developmentsandgivesanoverviewofrecentresearchtrendsinACO. 8.1Introduction AntColonyOptimization(ACO)[57,59,66]isametaheuristicforsolvinghard combinatorialoptimizationproblems.TheinspiringsourceofACOisthepheromone ...
This review examines the methods used to optimize the process parameters of laser cladding, including traditional optimization algorithms such as single-factor, regression analysis, response surface, and Taguchi, as well as intelligent system optimization algorithms such as neural network models, genetic ...
Ant Colony Optimization (ACO) is a metaheuristic that is inspired by the pheromone trail laying and following behavior of some ant species. Artificial ants in ACO are stochastic solution construction procedures that build candidate solutions for the prob
Pros: A common superiority of metaheuristic algorithms is that these methods avoid generating tens-of-thousands subgraphs or traversing Monte-Carlo simulations to compute the influence by optimizing the evaluation function to estimate the expected influence spread of given node set. Moreover, extensive ...