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...
Research in metaheuristics for global optimization problems are currently experiencing an overload of wide range of available metaheuristic-based solution
of these algorithms is the maintenance of a population of good parameter sets, which are used to generate new trial parameter sets. Many modern population-based metaheuristic algorithms (e.g., Refs. [50–52]) allow for parallelized function evaluations within a single run of the algorithm, ...
The combination of metaheuristic algorithms can further improve the parameters based on the complexity of hybrid models, such as Particle swarm optimization and gravitational search algorithm (PSOGSA) and Modified cuckoo search and differential evolution algorithm (MCSDE). Sign in to download hi-res ...
The first one frames the ACO approach in current trends of research on metaheuristic algorithms for combinatorial optimization; the second outlines current research within the ACO framework, reporting recent results obtained on different problems, while the third part focuses on a particular research ...
The Ant Colony Optimization Metaheuristic: Algorithms, Applications, and Advancesfacilities planning and designmachine layoutant colony optimisation... M Dorigo,T Stützle - Springer US 被引量: 3172发表: 2003年 Ant Colony Optimization: An Overview Ant Colony Optimization (ACO) is a class of construc...
Since two of the most important disadvantages of the classical nonlinear regression methods, such as Levenberg-Marquardt (LM), are to calculate error deriv... M Adibifard,G Bashiri,E Roayaei,... - 《International Journal of Applied Metaheuristic Computing》 被引量: 2发表: 2016年 Overview of...
Scientometric analysis of quantum-inspired metaheuristic algorithms Pooja Sandeep Kumar Sood Artificial Intelligence Review (2024) Solving the vehicle routing problem via quantum support vector machines Nishikanta Mohanty Bikash K. Behera Christopher Ferrie Quantum Machine Intelligence (2024)Download...
there is still a strong need for heuristics and this chapter demonstrates that the search for better heuristics remains a dynamic research topic. An overview is provided of many traditional heuristic methods including Simulated Annealing, Tabu Search, and Genetic Algorithms as well as more recently pr...
Finally, our research has shown that the field of nature-inspired and metaheuristic algorithms has increased its interest in the last decade to address the IR problem, and it has been highlighted that there is still room for improvement. Keywords: image registration; nature-inspired; metaheuristics...