Source Code

  1. Evolutionary Optimization Toolbox (EOT): an optimisation tool. Code

  2. Elsayed, S., Sarker, R., Coello Coello, C.: Sequence-based Deterministic Initialization for Evolutionary Algorithms. IEEE Transactions on Cybernetics, 47(9), pp.2911-2923, 2017. (Code- Example) (preprint) (appendices)

  3. Elsayed, S., Hamza, N., Sarker, R.: Testing United Multi-operator Evolutionary Algorithms-II on Single Objective Optimization Problems. In: IEEE Congress on Evolutionary Computation, Vancouver, 2016, pp. 2966-2973. Joint winner (code) (preprint)

  4. S. Elsayed and R. Sarker. An Adaptive Configuration of Differential Evolution Algorithms for Big Data. IEEE Congress on Evolutionary Computation, Sendai, Japan, 2015, pp. 695-702, ranked 3rd, code and results for single and multi-objective problems, paper (pre-print), competition info.

  5. S. Elsayed, R. Sarker and D. Essam (2011). GA with a New Multi-Parent Crossover for Solving IEEE-CEC2011 Competition Problems, IEEE Congress on Evolutionary Computation, New Orleans, USA, pp.1034-1040 download code (v.1)