Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
An Electromagnetism-like Mechanism for Global Optimization
Journal of Global Optimization
Introduction to Evolutionary Computing
Introduction to Evolutionary Computing
Ant Colony Optimization
Improved Ant Colony Algorithm and its Applications in TSP
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 02
On mass effects to artificial physics optimisation algorithm for global optimisation problems
International Journal of Innovative Computing and Applications
The vector model of artificial physics optimization algorithm for global optimization problems
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Artificial physics optimisation: a brief survey
International Journal of Bio-Inspired Computation
A dynamic max-min ant system for solving the travelling salesman problem
International Journal of Bio-Inspired Computation
Improved intelligent water drops algorithm using adaptive schema
International Journal of Bio-Inspired Computation
The application of swarm intelligence in service-oriented product lines
Proceedings of the 15th International Software Product Line Conference, Volume 2
Robust multi-user detection based on quantum bee colony optimisation
International Journal of Innovative Computing and Applications
A water-flow algorithm for flexible flow shop scheduling with intermediate buffers
Journal of Scheduling
Engineering Applications of Artificial Intelligence
The convergence analysis of artificial physics optimisation algorithm
International Journal of Intelligent Information and Database Systems
A novel chemistry based metaheuristic optimization method for mining of classification rules
Expert Systems with Applications: An International Journal
A note on teaching-learning-based optimization algorithm
Information Sciences: an International Journal
The study of grid task scheduling based on AFSA algorithm
International Journal of Computer Applications in Technology
Bio-inspired methods for fast and robust arrangement of thermoelectric modulus
International Journal of Bio-Inspired Computation
An improved intelligent water drops algorithm for solving multi-objective job shop scheduling
Engineering Applications of Artificial Intelligence
Bio-inspired computation: success and challenges of IJBIC
International Journal of Bio-Inspired Computation
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A natural river often finds good paths among lots of possible paths in its ways from the source to destination. These near optimal or optimal paths are obtained by the actions and reactions that occur among the water drops and the water drops with the riverbeds. The intelligent water drops (IWD) algorithm is a new swarm-based optimisation algorithm inspired from observing natural water drops that flow in rivers. In this paper, the IWD algorithm is tested to find solutions of the n-queen puzzle with a simple local heuristic. The travelling salesman problem (TSP) is also solved with a modified IWD algorithm. Moreover, the IWD algorithm is tested with some more multiple knapsack problems (MKP) in which near-optimal or optimal solutions are obtained.