Two-stage heuristic algorithm with pseudo node-based model for electric vehicle routing problem
Electric vehicle routing problem (EVRP) is a special vehicle routing problem, which owns
several specific characteristics of EV technology including the limited charging stations and …
several specific characteristics of EV technology including the limited charging stations and …
LED layout optimization in visible light communication system by a hybrid immune clonal bat algorithm
H Che, P Wang, S Chi, Y Sun, T Yang, Z Wang - Optics Communications, 2022 - Elsevier
To enhance the flatness of received optical power distribution, a hybrid immune clonal bat
algorithm (ICBA) combining the bat algorithm (BA) with an immune clonal algorithm (ICA) …
algorithm (ICBA) combining the bat algorithm (BA) with an immune clonal algorithm (ICA) …
An enhanced brain storm sine cosine algorithm for global optimization problems
C Li, Z Luo, Z Song, F Yang, J Fan, PX Liu - Ieee Access, 2019 - ieeexplore.ieee.org
The conventional sine cosine algorithm (SCA) does not appropriately balance exploration
and exploitation, causing premature convergence, especially for complex optimization …
and exploitation, causing premature convergence, especially for complex optimization …
Runtime analysis of somatic contiguous hypermutation operators in MOEA/D framework
Z Huang, Y Zhou - Proceedings of the AAAI Conference on Artificial …, 2020 - ojs.aaai.org
Somatic contiguous hypermutation (CHM) operators are important variation operators in
artificial immune systems. The few existing theoretical studies are only concerned with …
artificial immune systems. The few existing theoretical studies are only concerned with …
An immune metaheuristics for large instances of the weighted feedback vertex set problem
An immune metaheuristic has been developed for solving the Weighted Feedback Vertex
Set problem, known to be a NP-complete problem, which finds applicability in many real …
Set problem, known to be a NP-complete problem, which finds applicability in many real …
Analysing stochastic search heuristics operating on a fixed budget
T Jansen - … of evolutionary computation: recent developments in …, 2020 - Springer
When stochastic search heuristics are used for optimisation they are often stopped after
some time has passed and the best search point they have found at this point is used as the …
some time has passed and the best search point they have found at this point is used as the …
A hybrid immunological search for the weighted feedback vertex set problem
In this paper we present a hybrid immunological inspired algorithm (Hybrid-IA) for solving
the Minimum Weighted Feedback Vertex Set (MWFVS) problem. MWFVS is one of the most …
the Minimum Weighted Feedback Vertex Set (MWFVS) problem. MWFVS is one of the most …
[HTML][HTML] Set Packing Optimization by Evolutionary Algorithms with Theoretical Guarantees
The set packing problem is a core NP-complete combinatorial optimization problem which
aims to find the maximum collection of disjoint sets from a given collection of sets, S, over a …
aims to find the maximum collection of disjoint sets from a given collection of sets, S, over a …
Runtime analysis of immune-inspired hypermutation operators in evolutionary multi-objective optimization
Z Huang, Y Zhou - Swarm and Evolutionary Computation, 2021 - Elsevier
Immune systems inspired algorithms with hypermutation operators have achieved great
success in solving real-world single-objective as well as multi-objective optimization …
success in solving real-world single-objective as well as multi-objective optimization …
[HTML][HTML] 非线性多目标概率约束规划免疫优化算法
张仁崇, 张著洪 - 北京航空航天大学学报, 2020 - bhxb.buaa.edu.cn
针对噪声信息未知的一般非线性多目标概率约束规划(MOPCP) 问题, 探讨基于危险理论的多
目标免疫优化算法(MOIOA). 算法设计中, 借助自适应采样方法估计机会约束的概率和目标值; …
目标免疫优化算法(MOIOA). 算法设计中, 借助自适应采样方法估计机会约束的概率和目标值; …