Variable neighbourhood search: methods and applications
Variable neighbourhood search (VNS) is a metaheuristic, or a framework for building
heuristics, based upon systematic changes of neighbourhoods both in descent phase, to …
heuristics, based upon systematic changes of neighbourhoods both in descent phase, to …
Variable neighbourhood search: methods and applications
Variable neighbourhood search (VNS) is a metaheuristic, or a framework for building
heuristics, based upon systematic changes of neighbourhoods both in descent phase, to …
heuristics, based upon systematic changes of neighbourhoods both in descent phase, to …
Memetic search for the max-bisection problem
Q Wu, JK Hao - Computers & Operations Research, 2013 - Elsevier
Given an undirected graph G=(V, E) with weights on the edges, the max-bisection problem
(MBP) is to find a partition of the vertex set V into two subsets V1 and V2 of equal cardinality …
(MBP) is to find a partition of the vertex set V into two subsets V1 and V2 of equal cardinality …
An effective iterated tabu search for the maximum bisection problem
Given an edge weighted graph G=(V, E), the maximum bisection problem involves
partitioning the vertices of V into two disjoint subsets of equal cardinality such that the weight …
partitioning the vertices of V into two disjoint subsets of equal cardinality such that the weight …
An Efficient Memetic Algorithm for theMax-Bisection Problem
G Lin, W Zhu - IEEE Transactions on Computers, 2013 - ieeexplore.ieee.org
The max-bisection problem consists in partitioning the vertices of a weighted undirected
graph into two equally sized subsets so as to maximize the sum of the weights of crossing …
graph into two equally sized subsets so as to maximize the sum of the weights of crossing …
DSLS: a simple and efficient local search algorithm for the maximum bisection problem
The maximum bisection problem (max-bisection) belongs to a family of well-known graph
partitioning problems with wide applications. In this study, we develop a simple and efficient …
partitioning problems with wide applications. In this study, we develop a simple and efficient …
Speeding up a memetic algorithm for the max-bisection problem
W Zhu, Y Liu, G Lin - Numerical Algebra, Control and Optimization, 2015 - aimsciences.org
Max-bisection of a weighted graph G=(V, E) is to partition the vertex set V into two subsets
that have equal cardinality, such that the sum of the weights of the edges connecting vertices …
that have equal cardinality, such that the sum of the weights of the edges connecting vertices …
A MILP model for the connected multidimensional maximum bisection problem
ZL Maksimović - Journal of Combinatorial Optimization, 2024 - Springer
Abstract The Maximum Bisection Problem (MBP) is a well-known combinatorial optimization
problem that has been proven to be NP-hard. The maximum bisection of a graph is the …
problem that has been proven to be NP-hard. The maximum bisection of a graph is the …
Constructing the Neighborhood Structure of VNS Based on Binomial Distribution for Solving QUBO Problems
D Pambudi, M Kawamura - Algorithms, 2022 - mdpi.com
The quadratic unconstrained binary optimization (QUBO) problem is categorized as an NP-
hard combinatorial optimization problem. The variable neighborhood search (VNS) …
hard combinatorial optimization problem. The variable neighborhood search (VNS) …
求解最大二等分问题的混合二进制人工蜂群算法.
林耿 - Journal of Zhejiang University (Science Edition), 2019 - search.ebscohost.com
为更好地解决最大二等分问题, 提出了一种求解该问题的混合二进制人工蜂群算法. 首先,
针对传统人工蜂群算法不能解决离散问题的缺陷, 根据最大二等分问题的特点 …
针对传统人工蜂群算法不能解决离散问题的缺陷, 根据最大二等分问题的特点 …