Many-objective optimizationMulti-objective optimization2022 Elsevier B.V.For evolutionary computation, how to balance the convergence and diversity of populations is a challenging problem for solving many-objective optimization problems. In particular, with the increasing of the number of objectives, the ...
Inspired by these two observations, BiGE converts a given multi-objective optimization problem into a bi-goal (objective) optimization problem regarding proximity and diversity, and then handles it using the Pareto dominance relation in this bi-goal domain. Implemented with estimation methods of ...
Kang, Z.et al.(2007). A New Evolutionary Decision Theory for Many-Objective Optimization Problems. In: Kang, L., Liu, Y., Zeng, S. (eds) Advances in Computation and Intelligence. ISICA 2007. Lecture Notes in Computer Science, vol 4683. Springer, Berlin, Heidelberg. https://doi.org/1...
Finding such as subspace involves solving a three‐objective optimization problem. A subspace should cover many of the decision relevant model runs, while containing as few as possible nondecision relevant model runs, and being easy to interpret. Existing techniques for scenario discovery, however, ...
In this paper, an evolutionary algorithm based on bi-goal is proposed for many-objective optimization. We first provide a new proximity estimation, ensuring the convergence of algorithm. Afterwards, a new sharing function with a novel discriminator is employed to improve the diversity. The dominance...
A key question when tackling such a set problem is how to define the optimization criterion. Many multiobjective evo- lutionary algorithms (MOEAs) implement a combination of Pareto dominance on sets and a diversity measure based on Euclidean distance in the objective space, e.g., NSGA-II ...
pickup and delivery problemmany-objective problemoptimizationevolutionary computationsmemetic I-DBEAThe pickup and delivery problem (PDP) is a very common and important problem, which has a large number of real-world applications in logistics and transportation. In PDP, customers send transportation ...
Liu, Bi-goal evolution for many-objective optimization problems, Artificial Intelligence 228 (2015) 45-65.Li M, Yang S, Liu X (2015) Bi-goal evolution for many-objective optimization problems. Artif Intell 228:45-65MiqingLi,ShengxiangYang,XiaohuiLiu.Bi goalevolu tionformany objectiveoptimization...
MaOP Many-Objective Optimization Problem MOEA Multi-objective Evolutionary Algorithm MOP Multi-objective Optimization Problem RoI Region of Interest RVEA-iGNG Reference-Vector-Guided Evolutionary Algorithm with Improved Growing Neural Gas TS-NSGA-II Two-Stage Non-dominated CRediT authorship contribution stat...
A many-objective evolutionary algorithm based on three states for solving many-objective optimization problem Article Open access 19 August 2024 A new optimization algorithm to solve multi-objective problems Article Open access 13 October 2021 External archive guided radial-grid multi objective diffe...