Open Access
SPEA2: Improving the Strength Pareto Evolutionary Algorithm For Multiobjective Optimization
About:
The article was published on 2002-01-01 and is currently open access. It has received 1972 citations till now. The article focuses on the topics: Pareto principle & Multi-objective optimization.read more
Citations
More filters
Dissertation
Operational optimisation of water distribution networks
TL;DR: In this paper, the authors investigated new representations of pump schedules for restricting the number of potential pump schedules and proposed an evolutionary algorithm to find an optimal schedule of pump operations in a water distribution network.
Book ChapterDOI
Bilevel multi-objective optimization problem solving using progressively interactive EMO
TL;DR: A progressively interactive EMO for bileVEL problems has been presented where preference information from the decision maker at the upper level of the bilevel problem is used to guide the algorithm towards the most preferred solution (a single solution point).
Dissertation
A Study of Simulated Annealing Techniques for Multi-Objective Optimisation
TL;DR: This new method for multiobjective simulated annealing is shown to exhibit rapid convergence to the desired set, dependent upon the properties of the problem, with empirical results on a range of popular test problems.
Journal ArticleDOI
A pareto optimal study for the multi-objective oil platform location problem with NSGA-II
TL;DR: Based on the error ratio, on generational distance and on hypervolume metrics, computational experiments show that the NSGA-II provides good solutions, close to Pareto Optimal and better than a Greedy Randomized Adaptive Search Procedure (GRASP) metaheuristic proposed in the literature.
Journal ArticleDOI
A general multi-objective hyper-heuristic for water distribution network design with discolouration risk
TL;DR: In this paper, the authors presented a method for producing optimised network designs aimed at reducing discolouration risk in the network design phase and thus reducing the associated long-term maintenance and operational burdens of the system.