Engineering Applications of Artificial Intelligence
Advances in Engineering Software
Use of chaotic sequences in a biologically inspired algorithm for engineering design optimization
Expert Systems with Applications: An International Journal
An enhanced differential evolution algorithm for daily optimal hydro generation scheduling
Computers & Mathematics with Applications
Engineering Applications of Artificial Intelligence
CIDE: Chaotically Initialized Differential Evolution
Expert Systems with Applications: An International Journal
CODEQ: an effective metaheuristic for continuous global optimisation
International Journal of Metaheuristics
Chaos driven evolutionary algorithms for the task of PID control
Computers & Mathematics with Applications
Chaos-based improved immune algorithm (CBIIA) for resource-constrained project scheduling problems
Expert Systems with Applications: An International Journal
Chaotic differential evolution methods for dynamic economic dispatch with valve-point effects
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
Global optimization of an optical chaotic system by Chaotic Multi Swarm Particle Swarm Optimization
Expert Systems with Applications: An International Journal
A chaotic harmony search algorithm for the flow shop scheduling problem with limited buffers
Applied Soft Computing
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
Design optimization with chaos embedded great deluge algorithm
Applied Soft Computing
Remote sensing image classification by the Chaos Genetic Algorithm in monitoring land use changes
Mathematical and Computer Modelling: An International Journal
Chaotic particle swarm optimization for data clustering
Expert Systems with Applications: An International Journal
Clonal selection: an immunological algorithm for global optimization over continuous spaces
Journal of Global Optimization
An evolutionary linear programming algorithm for solving the stock reduction problem
International Journal of Computer Applications in Technology
Engineering Applications of Artificial Intelligence
Community Detection in Complex Networks: Multi-objective Enhanced Firefly Algorithm
Knowledge-Based Systems
On the behavior and performance of chaos driven PSO algorithm with inertia weight
Computers & Mathematics with Applications
Chaotic Evolution: fusion of chaotic ergodicity and evolutionary iteration for optimization
Natural Computing: an international journal
Hybrid parallel chaos optimization algorithm with harmony search algorithm
Applied Soft Computing
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This paper proposes an experimental analysis on the convergence of evolutionary algorithms (EAs). The effect of introducing chaotic sequences instead of random ones during all the phases of the evolution process is investigated. The approach is based on the substitution of the random number generator (RNG) with chaotic sequences. Several numerical examples are reported in order to compare the performance of the EA using random and chaotic generators as regards to both the results and the convergence speed. The results obtained show that some chaotic sequences are always able to increase the value of some measured algorithm-performance indexes with respect to random sequences. Moreover, it is shown that EAs can be extremely sensitive to different RNGs. Some t-tests were performed to confirm the improvements introduced by the proposed strategy.