Now showing items 11-16 of 16
An adaptive multi-swarm optimizer for dynamic optimization problems
(The MIT Press, 2014-01-17)
The multi-population method has been widely used to solve dynamic optimization problems (DOPs) with the aim of maintaining multiple populations on different peaks to locate and track multiple changing optima simultaneously. ...
Ant colony optimization algorithms for dynamic optimization: A case study of the dynamic travelling salesperson problem
(IEEE Press, 2019-10)
Ant colony optimization is a swarm intelligence metaheuristic inspired by the foraging behavior of some ant species. Ant colony optimization has been successfully applied to challenging optimization problems. This article ...
A novel multi-objective evolutionary algorithm based on space partitioning
To design an e ective multi-objective optimization evolutionary algorithms (MOEA), we need to address the following issues: 1) the sensitivity to the shape of true Pareto front (PF) on decomposition-based MOEAs; 2) the ...
A comparative study on particle swarm optimization in dynamic environments.
Memory-based multi-population genetic learning for dynamic shortest path problems
(IEEE Press, 2019-06)
This paper proposes a general algorithm framework for solving dynamic sequence optimization problems (DSOPs). The framework adapts a novel genetic learning (GL) algorithm to dynamic environments via a clustering-based ...
Modeling and evolutionary optimization for multi-objective vehicle routing problem with real-time traffic conditions
(Association for Computing Machinery, 2020-02)
The study of the vehicle routing problem (VRP) is of outstanding significance for reducing logistics costs. Currently, there is little VRP considering real-time traffic conditions. In this paper, we propose a more realistic ...