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30. P. Larrañaga, H. Karshenas, C. Bielza, R. Santana, A review on probabilistic graphical models
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31. K.V. Price, R.M. Storn, J.A. Lampinen, Differential evolution, in A Practical Approach to
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trajectory optimization. IEEE Trans. Evol. Comput. 15(2), 267–281 (2011)
33. D.J. Wales, J.P.K. Doye, Global optimization by basin-hopping and the lowest energy
structures of Lennard-Jones clusters containing up to 110 atoms. J. Phys. Chem. A 101, 5111–
5116 (1997)
34. B.Addis, M. Locatelli, F.Schoen, Local optima smoothing for global optimization. Optim.
Methods Softw. 20, 417–437 (2005)
35. S. Das, P.N. Suganthan, Differential evolution: a survey of the state-of-the-art. IEEE Trans.
Evol. Comput. 15(1), 4–31 (2011)
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Found. Method. Appl. 9(6), 448–462 (2005)
37. A.K. Qin, V.L. Huang, P.N. Suganthan, Differential evolution algorithm with strategy
adaptation for global numerical optimization. IEEE Trans. Evol. Comput. 13(2), 398–417
(2009)
38. M.M. Ali, A. Trn, Population set based global optimization algorithms: some modifications
and numerical studies. Comput. Oper. Res. 31(10), 1703–1725 (2004)
39. J. Brest, S. Greiner, B. Boskovic, M. Mernik, V. Zumer, Self-adapting control parameters in
differential evolution: a comparative study on numerical benchmark problems. IEEE Trans.
Evol. Comput. 10(6), 646–657 (2006)
40. E. Minisci, M. Vasile, Adaptive inflationary differential evolution, in Congress on Evolutionary Computation (CEC2014), July 6–11, Beijin (2014)
41. M. Di Carlo, M. Vasile, E. Minisci, Multi-population adaptive inflationary differential
evolution algorithm with adaptive local restart, in Congress on Evolutionary Computation
(CEC2015) (2015)
42. M. Clerc, Particle Swarm Optimization (ISTE, London/Newport Beach, 2006)
43. J. Kennedy, R. Eberhart, Particle swarm optimization, in Proceedings of the IEEE International Conference on Neural Networks, vol. 4 (1995), pp. 1942–1948
44. K. Miettinen, Nonlinear Multiobjective Optimization (Springer, Berlin, 1999)
45. C.A. Coello Coello, A comprehensive survey of evolutionary-based multiobjective optimization techniques. Knowl. Inf. Syst. 1, 269–308 (1998)
46. C.M. Fonseca, P.J. Fleming, An overview of evolutionary algorithms in multiobjective
optimization. Evol. Comput. 3(1), 1–16 (2007)
47. J. Brian, J. Ritzel, E. Wayland, S. Ranjithan, Using genetic algorithms to solve a multiple
objective groundwater pollution containment problem. Water Resour. Res. 30(5), 1589–1603
(1994)
48. Y. Ijiri, Management Goals and Accounting for Controls (North-Holland Publishing Company, Amsterdam, 1965)
49. Y. L. Chen, C.C. Liu, Multiobjective VAR planning using the goal attainment method. IEE
Proc. Gener. Transm. Distrib. 141(3), 227–232 (1994)
50. L.A. Ricciardi, C.A. Maddock, M. Vasile, Direct solution of multi-objective optimal control
problems applied to spaceplane mission design. J. Guid. Control. Dyn. 42(1), 30–46 (2019)
51. M. Vasile, Multi-objective optimal control: a direct approach, in Satellite Dynamics and Space
Missions, ed. by G. Baú, A. Celletti, C. Gales, G. Federico Gronchi (Springer, Berlin, 2019)
52. D.E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning
(Addison-Wesley, Boston, 1989)
A. Riccardi et al.
29. M. Costa, E. Minisci, MOPED: a multi-objective Parzen-based estimation of distribution
algorithm for continuous problems, in Evolutionary MultiCriterion Optimisation 2003.
Lecture Notes in Computer Science, vol. 2632 (Springer, Berlin, 2003), p. 71
30. P. Larrañaga, H. Karshenas, C. Bielza, R. Santana, A review on probabilistic graphical models
in evolutionary computation. J. Heuristics 18(5), 795–819 (2012)
31. K.V. Price, R.M. Storn, J.A. Lampinen, Differential evolution, in A Practical Approach to
Global Optimization, Natural Computing Series (Springer, Berlin, 2005)
32. M. Vasile, E. Minisci, M. Locatelli, An inflationary differential evolution algorithm for space
trajectory optimization. IEEE Trans. Evol. Comput. 15(2), 267–281 (2011)
33. D.J. Wales, J.P.K. Doye, Global optimization by basin-hopping and the lowest energy
structures of Lennard-Jones clusters containing up to 110 atoms. J. Phys. Chem. A 101, 5111–
5116 (1997)
34. B.Addis, M. Locatelli, F.Schoen, Local optima smoothing for global optimization. Optim.
Methods Softw. 20, 417–437 (2005)
35. S. Das, P.N. Suganthan, Differential evolution: a survey of the state-of-the-art. IEEE Trans.
Evol. Comput. 15(1), 4–31 (2011)
36. J. Liu, J. Lampinen, A fuzzy adaptive differential evolution algorithm. Soft Comput. A Fusion
Found. Method. Appl. 9(6), 448–462 (2005)
37. A.K. Qin, V.L. Huang, P.N. Suganthan, Differential evolution algorithm with strategy
adaptation for global numerical optimization. IEEE Trans. Evol. Comput. 13(2), 398–417
(2009)
38. M.M. Ali, A. Trn, Population set based global optimization algorithms: some modifications
and numerical studies. Comput. Oper. Res. 31(10), 1703–1725 (2004)
39. J. Brest, S. Greiner, B. Boskovic, M. Mernik, V. Zumer, Self-adapting control parameters in
differential evolution: a comparative study on numerical benchmark problems. IEEE Trans.
Evol. Comput. 10(6), 646–657 (2006)
40. E. Minisci, M. Vasile, Adaptive inflationary differential evolution, in Congress on Evolutionary Computation (CEC2014), July 6–11, Beijin (2014)
41. M. Di Carlo, M. Vasile, E. Minisci, Multi-population adaptive inflationary differential
evolution algorithm with adaptive local restart, in Congress on Evolutionary Computation
(CEC2015) (2015)
42. M. Clerc, Particle Swarm Optimization (ISTE, London/Newport Beach, 2006)
43. J. Kennedy, R. Eberhart, Particle swarm optimization, in Proceedings of the IEEE International Conference on Neural Networks, vol. 4 (1995), pp. 1942–1948
44. K. Miettinen, Nonlinear Multiobjective Optimization (Springer, Berlin, 1999)
45. C.A. Coello Coello, A comprehensive survey of evolutionary-based multiobjective optimization techniques. Knowl. Inf. Syst. 1, 269–308 (1998)
46. C.M. Fonseca, P.J. Fleming, An overview of evolutionary algorithms in multiobjective
optimization. Evol. Comput. 3(1), 1–16 (2007)
47. J. Brian, J. Ritzel, E. Wayland, S. Ranjithan, Using genetic algorithms to solve a multiple
objective groundwater pollution containment problem. Water Resour. Res. 30(5), 1589–1603
(1994)
48. Y. Ijiri, Management Goals and Accounting for Controls (North-Holland Publishing Company, Amsterdam, 1965)
49. Y. L. Chen, C.C. Liu, Multiobjective VAR planning using the goal attainment method. IEE
Proc. Gener. Transm. Distrib. 141(3), 227–232 (1994)
50. L.A. Ricciardi, C.A. Maddock, M. Vasile, Direct solution of multi-objective optimal control
problems applied to spaceplane mission design. J. Guid. Control. Dyn. 42(1), 30–46 (2019)
51. M. Vasile, Multi-objective optimal control: a direct approach, in Satellite Dynamics and Space
Missions, ed. by G. Baú, A. Celletti, C. Gales, G. Federico Gronchi (Springer, Berlin, 2019)
52. D.E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning
(Addison-Wesley, Boston, 1989)