A collection of test problems for constrained global optimization algorithms
A collection of test problems for constrained global optimization algorithms
Applying Family Competition to Evolution Strategies for Constrained Optimization
EP '97 Proceedings of the 6th International Conference on Evolutionary Programming VI
Constrained optimization via particle evolutionary swarm optimization algorithm (PESO)
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Application of a novel IWO to the design of encoding sequences for DNA computing
Computers & Mathematics with Applications
Linear Antenna Array Synthesis with Invasive Weed Optimization Algorithm
SOCPAR '09 Proceedings of the 2009 International Conference of Soft Computing and Pattern Recognition
A modified Artificial Bee Colony (ABC) algorithm for constrained optimization problems
Applied Soft Computing
Directed searching optimization algorithm for constrained optimization problems
Expert Systems with Applications: An International Journal
Multi-objective optimization with artificial weed colonies
Information Sciences: an International Journal
Linear antenna array synthesis with modified invasive weed optimisation algorithm
International Journal of Bio-Inspired Computation
? constrained differential evolution for economic dispatch with valve-point effect
International Journal of Bio-Inspired Computation
An Improved Artificial Weed Colony for Continuous Optimization
EMS '11 Proceedings of the 2011 UKSim 5th European Symposium on Computer Modeling and Simulation
Two-stage eagle strategy with differential evolution
International Journal of Bio-Inspired Computation
International Journal of Bio-Inspired Computation
Search biases in constrained evolutionary optimization
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Stochastic ranking for constrained evolutionary optimization
IEEE Transactions on Evolutionary Computation
Test sequence optimisation: an intelligent approach via cuckoo search
International Journal of Bio-Inspired Computation
International Journal of Bio-Inspired Computation
A differential evolution approach for solving constrained min-max optimization problems
Expert Systems with Applications: An International Journal
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A robust variant of invasive weed optimisation IWO algorithm, called enhanced invasive weed optimisation EIWO algorithm, is proposed in this paper for the optimisation of constrained benchmark problems. Enjoying the ecological behaviour of colonising weeds, IWO has demonstrated its ability in solving different optimisation problems. Since making a proper balance between these two components is essential, especially to cope with constraint optimisation problems, two new rules are added to the algorithm to improve its performance. The first rule is utilising principles of social standard deviation as proposed in social harmony search SHS algorithm. The second rule is utilised to prevent the algorithm to get stuck on local optima. Finally, for constraint handling, three simple heuristic rules of Deb are utilised. The robustness and effectiveness of the proposed method are tested on many constrained benchmark problems and compared against those of state-of-the-art algorithms.