Results 201 to 210 of about 28,586 (232)
Some of the next articles are maybe not open access.
Multi-criteria website optimisation using NSGA-II
International Journal of Business Information Systems, 2016It has been observed that organisations in order to be competitive are trying to maintain long-term relationships with their online customers. These organisations are mining information in log files or on-line forms with the aim of creating websites that can adapt to changing online buying patterns of customers.
T. V. Vijay Kumar, Kumar Dilip
openaire +1 more source
Improving the NSGA-II Performance with an External Population
2015The NSGA-II algorithm is among the best performing ones in the area of multiobjective optimization. The classic version of this algorithm does not utilize any external population. In this work several techniques of reintroducing specimens from the external population back to the main one are proposed.
openaire +1 more source
Improved NSGA-II Algorithm for Optimization of Constrained Functions
2010 International Conference on Machine Vision and Human-machine Interface, 2010Optimization of Constrained Functions have been a research focus in multi-objective optimization problems (MOP). Based on the technologies from NSGA-II such as non-dominated sorting, elitist strategy and niche technique, this paper proposes an improved NSGA-II algorithm for Optimization of Constrained Functions.
Maocai Wang, Guangming Dai, Hanping Hu
openaire +1 more source
High Performance Architecture for NSGA-II
2013NSGA-II is one of the most popular algorithms for solving Multiobjective Optimization Problems. It has been used to solve different real-world optimization problems. However, NSGA-II has been criticized for its high computational cost and bad performance on applications with more than two objective functions.
Josué Domínguez +3 more
openaire +1 more source
Towards an interactive ranking operator for NSGA-II
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022Cláudia Tupan Rosa +3 more
openaire +1 more source
An NSGA-II Algorithm for the Green Vehicle Routing Problem
2012In this paper, we present and define the bi-objective Green Vehicle Routing Problem GVRP in the context of green logistics. The bi-objective GVRP states for the problem of finding routes for vehicles to serve a set of customers while minimizing the total traveled distance and the co2 emissions.
Jaber Jemai +2 more
openaire +1 more source
Materials and Emerging Technologies for Sustainability
This study presents a comparative analysis of construction site layout planning using the NSGA-II and hybrid NSGA-II-MOPSO multi-objective optimization algorithms. The objective is to simultaneously minimize material transportation distance and maximize on-site safety by optimizing the spatial arrangement of auxiliary facilities and tower cranes ...
Xuan Thanh Nguyen +4 more
openaire +1 more source
This study presents a comparative analysis of construction site layout planning using the NSGA-II and hybrid NSGA-II-MOPSO multi-objective optimization algorithms. The objective is to simultaneously minimize material transportation distance and maximize on-site safety by optimizing the spatial arrangement of auxiliary facilities and tower cranes ...
Xuan Thanh Nguyen +4 more
openaire +1 more source
Approaches to Parallelize Pareto Ranking in NSGA-II Algorithm
2012In this paper several new approaches to parallelize multi-objective optimization algorithm NSGA-II are proposed, theoretically justified and experimentally evaluated. The proposed strategies are based on the optimization and parallelization of the Pareto ranking part of the algorithm NSGA-II.
Algirdas Lancinskas, Julius Zilinskas
openaire +1 more source
Enhancing Exploration and Exploitation of NSGA-II with GP and PDL
2017In this paper, we show that NSGA-II can be applied to GP and the Process Description Language (PDL) and describe two modifications to NSGA-II. The first modification removes individuals which have the same behaviour from GP populations. It selects for de-duplication by taking the result of each objective fitness function together to make a comparison ...
Peter David Shannon +2 more
openaire +1 more source