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...
A family tree and a summary table based on this classification are presented to provide a concrete overview of metaheuristic algorithms developed from the 1960s to the present. Last but not least, some promising research directions and open issues are given to discuss the future of metaheuristic ...
1. An Overview of Performance Evaluation of Inter Vehicular Adhoc Networks (VANET's) Handovers by the Use of Intelligent Metaheuristic Algorithms [J] . Pravin Wararkar, S. S. Dorle, Ankit Dixit, International Journal of Applied Engineering Research . 2016,第4aPta4期 机译:使用智能元启发式...
The first-ever genome sequencing of a human being took 13 years to complete as a part of the “Human Genome Project” in 2003. In this chapter, we examine the application of metaheuristic algorithms to solve the genome sequencing problem. The chapter presents a detailed description of the ...
Research in metaheuristics for global optimization problems are currently experiencing an overload of wide range of available metaheuristic-based solution
reticalunderstandingofpropertiesofACOalgorithms.Thischapterreviewsthese developmentsandgivesanoverviewofrecentresearchtrendsinACO. 8.1Introduction AntColonyOptimization(ACO)[57,59,66]isametaheuristicforsolvinghard combinatorialoptimizationproblems.TheinspiringsourceofACOisthepheromone traillayingandfollowingbehaviorofrealants...
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
The concentrate is on the different proposed algorithms as well as exact algorithms, and heuristic or metaheuristic algorithms.M Jalali Varnamkhastiadvanced studies in biologyM. Varnamkhasti. Overview of the algorithms for solving the multidimensional knapsack problems. Advanced Studies in Biology, 4(1...
A systematic review of metaheuristic algorithms in electric power systems optimization Applied Soft Computing Journal2024, Applied Soft Computing Gerardo Humberto Valencia-Rivera, ... Juan Gabriel Avina-Cervantes 2.2 Electric power systems paradigms We open this subsection by defining electric power systems...
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 ...