A survey of swarm intelligence for dynamic optimization: Algorithms and applications
Swarm intelligence (SI) algorithms, including ant colony optimization, particle swarm
optimization, bee-inspired algorithms, bacterial foraging optimization, firefly algorithms, fish …
optimization, bee-inspired algorithms, bacterial foraging optimization, firefly algorithms, fish …
An ensemble learning based multi-objective evolutionary algorithm for the dynamic vehicle routing problem with time windows
Abstract The Vehicle Routing Problem (VRP) is a typical combinatorial optimization problem
and has been studied for many years. However, there are few researches on the Dynamic …
and has been studied for many years. However, there are few researches on the Dynamic …
[HTML][HTML] Flexible wolf pack algorithm for dynamic multidimensional knapsack problems
H Wu, R Xiao - Research, 2020 - spj.science.org
Optimization problems especially in a dynamic environment is a hot research area that has
attracted notable attention in the past decades. It is clear from the dynamic optimization …
attracted notable attention in the past decades. It is clear from the dynamic optimization …
A scheme library-based ant colony optimization with 2-opt local search for dynamic traveling salesman problem
The dynamic traveling salesman problem (DTSP) is significant in logistics distribution in real-
world applications in smart cities, but it is uncertain and difficult to solve. This paper …
world applications in smart cities, but it is uncertain and difficult to solve. This paper …
Adjustability of a discrete particle swarm optimization for the dynamic TSP
This paper presents a detailed study of the discrete particle swarm optimization algorithm
(DPSO) applied to solve the dynamic traveling salesman problem which has many practical …
(DPSO) applied to solve the dynamic traveling salesman problem which has many practical …
Metaheuristics for dynamic vehicle routing
Combinatorial optimization problems are usually modeled in a static fashion. In this kind of
problems, all data are known in advance, ie before the optimization process has started …
problems, all data are known in advance, ie before the optimization process has started …
A novel technique for optimal vehicle routing
N Gayathri, KRMV Chandrakala - … International Conference on …, 2014 - ieeexplore.ieee.org
This paper proposes a novel approach in finding an optimal solution for vehicle routing. The
intention here is to find the shortest time path between different points. Dijkstra's algorithm is …
intention here is to find the shortest time path between different points. Dijkstra's algorithm is …
Energy efficient routing for electric vehicles using particle swarm optimization
R Abousleiman, O Rawashdeh - 2014 - sae.org
Growing concerns about the environment, energy dependency, and unstable fuel prices
have increased the market share of electric vehicles. This has led to an increased demand …
have increased the market share of electric vehicles. This has led to an increased demand …
A comparative study on particle swarm optimization in dynamic environments
Particle swarm optimization (PSO) has been shown an effective optimization tool since it
was proposed. Due to the efficiency of locating optima, it has been widely applied to solve …
was proposed. Due to the efficiency of locating optima, it has been widely applied to solve …
A Comprehensive Review of Computational Intelligence Approaches for Intrusion Detection in Internet of Things Environments
J MA, S Raoof, SD MA - Available at SSRN 4851356 - papers.ssrn.com
With the widespread use of the Internet of things, security for IoT is getting more attention.
Traditional security mechanisms will not work efficiently in the complex IoT environment …
Traditional security mechanisms will not work efficiently in the complex IoT environment …