A multiobjective evolutionary algorithm for solving vehicle routing problem with stochastic demand

A multiobjective evolutionary algorithm for solving vehicle routing problem with stochastic demand

2006 IEEE Congress on Evolutionary Computation, CEC 2006

Saved in:

書目詳細資料
Main Authors:	Cheong, C.Y., Tan, K.C., Liu, D.K., Xu, J.X.
其他作者:	ELECTRICAL & COMPUTER ENGINEERING
格式:	Conference or Workshop Item
出版:	2014
在線閱讀:	http://scholarbank.nus.edu.sg/handle/10635/68896
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	National University of Singapore

相似書籍

Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation
由: Tan, K.C., et al.
出版: (2014)

A multiobjective evolutionary algorithm for solving vehicle routing problem with time windows
由: Tan, K.C., et al.
出版: (2014)

A hybrid multiobjective evolutionary algorithm for solving vehicle routing problem with time windows
由: Tan, K.C., et al.
出版: (2014)

Hybridizing problem-specific operators with meta-heuristics for solving the multi-objective vehicle routing problem with stochastic demand
由: Cheong, C.Y., et al.
出版: (2014)

Multi-objective evolutionary algorithm based on RBF network for solving the stochastic vehicle routing problem
由: NIU, Yunyun, et al.
出版: (2022)

A hybrid multi-objective evolutionary algorithm for solving truck and trailer vehicle routing problems
由: Tan, K.C., et al.
出版: (2014)

On solving multiobjective bin packing problems using evolutionary particle swarm optimization
由: Liu, D.S., et al.
出版: (2014)

A hybrid estimation of distribution algorithm with decomposition for solving the multiobjective multiple traveling salesman problem
由: Shim, V.A., et al.
出版: (2014)

Design and analysis of algorithms for solving some stochastic vehicle routing and scheduling problems
由: TENG SUYAN
出版: (2010)

An improved learnable evolution model for solving multi-objective vehicle routing problem with stochastic demand
由: NIU, Yunyun, et al.
出版: (2021)

A self-adaptive memeplexes robust search scheme for solving stochastic demands vehicle routing problem
由: Chen, Xianshun, et al.
出版: (2013)

Hybrid genetic algorithms in solving vehicle routing problems with time window constraints
由: Tan, K.C., et al.
出版: (2014)

A multiobjective evolutionary algorithm toolbox for computer-aided multiobjective optimization
由: Tan, K.C., et al.
出版: (2014)

A comparative study of metaheuristics for vehicle routing problem with stochastic demands
由: Teng, S., et al.
出版: (2014)

A HYBRID ALGORITHM FOR SOLVING THE VEHICLE ROUTING PROBLEM
由: KHYE AN ARHUL JOEL KUMAR
出版: (2021)

Solving the exam timetabling problem via a multi-objective evolutionary algorithm - A more general approach
由: Cheong, C.Y., et al.
出版: (2014)

Conditional neural heuristic for multiobjective vehicle routing problems
由: FAN, Mingfeng, et al.
出版: (2024)

A vehicle routing and scheduling problem with time windows and stochastic demand constraints
由: Ong, H.L., et al.
出版: (2014)

MIMOA: A membrane-inspired multi-objective algorithm for green vehicle routing problem with stochastic demands
由: NIU, Yunyun, et al.
出版: (2021)

Evolutionary algorithms for solving multi-objective travelling salesman problem
由: Shim, V.A., et al.
出版: (2014)

A multi-objective evolutionary algorithm for channel routing problems
由: Goh, C.K., et al.
出版: (2014)

A tabu-based exploratory evolutionary algorithm for multiobjective optimization
由: Tan, K.C., et al.
出版: (2014)

Dynamic multiobjective optimization using evolutionary algorithm with kalman filter
由: Muruganantham, A., et al.
出版: (2014)

Deep reinforcement learning approach to solve dynamic vehicle routing problem with stochastic customers
由: JOE, Waldy, et al.
出版: (2020)

A multiobjective evolutionary algorithm using dynamic weight design method
由: Gu, F., et al.
出版: (2014)

On solving multiobjective bin packing problems using particle swarm optimization
由: Liu, D.S., et al.
出版: (2014)

Evolutionary algorithms with dynamic population size and local exploration for multiobjective optimization
由: Tan, K.C., et al.
出版: (2014)

A matheuristic algorithm for solving the vehicle routing problem with cross-docking
由: GUNAWAN, Aldy, et al.
出版: (2020)

Artificial intelligence heuristics in solving vehicle routing problems with time window constraints
由: Tan, K.C., et al.
出版: (2014)

An investigation on noisy environments in evolutionary multiobjective optimization
由: Goh, C.K., et al.
出版: (2014)

A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment
由: Koo, W.T., et al.
出版: (2014)

Multiobjective Problem Solving from Nature
由: Knowles, Joshua, et al.
出版: (2017)

Cross-problem learning for solving vehicle routing problems
由: LIN, Zhuoyi, et al.
出版: (2024)

DYNAMIC MULTIOBJECTIVE OPTIMIZATION USING EVOLUTIONARY ALGORITHMS
由: ARRCHANA MURUGANANTHAM
出版: (2017)

Heuristic algorithms for solving a class of multiobjective zero-one programming problems
由: ZHANG CAIWEN
出版: (2010)

Hybrid multiobjective evolutionary design for artificial neural networks
由: Goh, C.-K., et al.
出版: (2014)

Evolutionary algorithms for solving power system optimization problems
由: Biswas, Partha Pratim
出版: (2019)

A multi-objective multi-colony ant algorithm for solving the berth allocation problem
由: Cheong, C.Y., et al.
出版: (2014)

Multiobjective vehicle routing and scheduling problem with time window constraints in hazardous material transportation
由: Meng, Q., et al.
出版: (2014)

Mobility on-demand algorithms for vehicle routing in Sentosa
由: Yong, Yong Qian
出版: (2017)