Sentence examples for popular optimisation from inspiring English sources
The test business process designs are of varying complexity and are optimised with three popular optimisation techniques (Non-Dominated Sorting Genetic Algorithm II (NSGA2), Strength Pareto Evolutionary Algorithm II (SPEA2) and Multi-Objective Particle Swarm Optimisation (MOPSO) algorithms).
Two popular optimisation methods, namely the Complex (Box) method and the Evolution Strategies, based on two different approaches, have been developed in order to test the efficiency of each approach for the specific application area.
Popular optimisation methodologies have been proposed as efficient means to achieve modularity maximisation, namely extremal optimisation (EO) [ 32] and simulated annealing (SA) [ 33].
The Linear Ordering Problem is a popular combinatorial optimisation problem which has been extensively addressed in the literature.
Most popular methods are based on applying greedy optimisation approaches of a graph partition quality measure [7, 23, 73].
While there have been many adaptations of some of the more popular meta-heuristics for continuous multi-objective optimisation problems, Tabu Search has received relatively little attention, despite its suitability and effectiveness on a number of real-world design optimisation problems.
To solve large-scale complex optimisation problems, meta-heuristics are the popular choices (Abtahi and Bijari 2016; Javanmard and Koraeizadeh 2016; Moradgholi et al. 2016).
Optimisation provides an alternative and increasingly popular method to estimate the model parameters [16].
This paper presents a hybrid meta-heuristic algorithm called multiple start guided neighbourhood search (MSGNS) algorithm for combinatorial optimisation which combines the good features of popular guided local search algorithms like simulated annealing and tabu search.
The planning of delivery routes resembles the popular Vehicle Routing Problem (VRP) in the field of combinatorial optimisation.
Many brands are still lagging behind in mobile optimisation, as desktop is far easier to optimise.
