A novel two-stage hybrid swarm intelligence optimization algorithm and application
This paper presents a novel two-stage hybrid swarm intelligence optimization algorithm
called GA–PSO–ACO algorithm that combines the evolution ideas of the genetic algorithms …
called GA–PSO–ACO algorithm that combines the evolution ideas of the genetic algorithms …
Automatic repair of inconsistent pairwise weighting matrices in analytic hierarchy process
IT Yang, WC Wang, TI Yang - Automation in Construction, 2012 - Elsevier
The public procurement process involves contractor selection, where AHP (Analytic
Hierarchy Process) has been widely applied to reflect decision makers'(DMs) preference …
Hierarchy Process) has been widely applied to reflect decision makers'(DMs) preference …
Gaussian variable neighborhood search for continuous optimization
Variable Neighborhood Search (VNS) has shown to be a powerful tool for solving both
discrete and box-constrained continuous optimization problems. In this note we extend the …
discrete and box-constrained continuous optimization problems. In this note we extend the …
Parallel computing platform for multiobjective simulation optimization of bridge maintenance planning
The maintenance planning of deteriorating bridges is to find a balance between obtained
performance and incurred cost. Because the planning horizon spans tens of years, a certain …
performance and incurred cost. Because the planning horizon spans tens of years, a certain …
Local search
Basic Concepts At an abstract level, memetic algorithms can be seen as a broad class of
populationbased stochastic local search (SLS) methods, where a main theme is “exploiting …
populationbased stochastic local search (SLS) methods, where a main theme is “exploiting …
State estimation in electric distribution networks in presence of distributed generation using the PMUs
M Haghifam, MR Haghifam… - CIRED 2012 Workshop …, 2012 - ieeexplore.ieee.org
Regarding the high cost of PMU units, optimal placement and minimizing of their numbers
are of great importance. Also, this paper proposes a new procedure for determining the …
are of great importance. Also, this paper proposes a new procedure for determining the …
Inverse analysis in civil engineering: applications to identification of parameters and design of structural material using mono or multi-objective particle swarm …
M Fontan, A Ndiaye, D Breysse… - Theory and New …, 2012 - books.google.com
Many engineering applications suffer from the ignorance of mechanical parameters. It is
particularly true when soil model is necessary to assess soil behaviour [Meieret al., 2008] …
particularly true when soil model is necessary to assess soil behaviour [Meieret al., 2008] …
A novel hybrid mechanistic-data-driven model identification framework using NSGA-II
S Sharifi, A Massoudieh - Journal of Hydroinformatics, 2012 - iwaponline.com
This paper describes a novel evolutionary data-driven model (DDM) identification framework
using the NSGA-II multi-objective genetic algorithm. The central concept of this paper is the …
using the NSGA-II multi-objective genetic algorithm. The central concept of this paper is the …
[PDF][PDF] A parametric simplex search for unconstrained optimization problem
In this paper an effective modification to the original Nelder-Mead simplex method is
suggested. It is shown that the new heuristic outperforms on average the original version of …
suggested. It is shown that the new heuristic outperforms on average the original version of …
[PDF][PDF] Optimal location of PMUs in distribution network for best state estimation based on ACO-NM hybrid algorithm
M Beykverdi, A Ashouri, A Bagheri - 2012 - sid.ir
Regarding the high cost of PMU units, optimal placement and minimizing of their numbers
are of great importance. Also, this paper proposes a new procedure for determining the …
are of great importance. Also, this paper proposes a new procedure for determining the …