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  1. Efficient Time-Delay System Optimization with Auto-Configured Metaheuristics
  2. Maximizing Efficiency: A Comparative Study of SOMA Algorithm Variants and Constraint Handling Methods for Time Delay System Optimization
  3. Configuring a Hierarchical Evolutionary Strategy Using Exploratory Landscape Analysis
  4. An Application of Evolutionary Algorithms and Machine Learning in Four-Part Harmonization
  5. Effective Parametric Optimization of Heating-Cooling Process with Optimum near the Domain Border
  6. Socio-cognitive Optimization of Time-delay Control Problems using Agent-based Metaheuristics
  7. Socio-cognitive Optimization of Time-delay Control Problems using Evolutionary Metaheuristics
  8. How to lighten parametric inverse computations if the misfit is non-convex and the forward solver needs stabilization
  9. Application of the Hierarchic Memetic Strategy HMS in Neuroevolution
  10. Understanding measure-driven algorithms solving irreversibly ill-conditioned problems
  11. A Three-Level Linearized Time Integration Scheme for Tumor Simulations with Cahn-Hilliard Equations
  12. Current Trends in Software Engineering Bachelor Theses
  13. Effective Solution of Ill-Posed Inverse Problems with Stabilized Forward Solver
  14. Using Covariance Matrix Adaptation Evolutionary Strategy to boost the search accuracy in hierarchic memetic computations
  15. Handling insensitivity in multi-physics inverse problems using a complex evolutionary strategy
  16. Approximating landscape insensitivity regions in solving ill-conditioned inverse problems
  17. MISFIT LANDFORMS IMPOSED BY ILL-CONDITIONED INVERSE PARAMETRIC PROBLEMS
  18. Differentiability of the objective in a class of coefficient inverse problems
  19. A multi-objective memetic inverse solver reinforced by local optimization methods
  20. Local Misfit Approximation in Memetic Solving of Ill-Posed Inverse Problems
  21. Memetic approach for irremediable ill-conditioned parametric inverse problems * *The work presented in this paper has been partially supported by Polish National Science Center grants no. DEC-2015/17/B/ST6/01867 and by the AGH statutory research grant ...
  22. Multiwinner Voting in Genetic Algorithms
  23. Two-Phase Strategy Managing Insensitivity in Global Optimization
  24. Application of α -stable mutation in a hierarchic evolutionary inverse solver
  25. On the Computational Cost and Complexity of Stochastic Inverse Solvers
  26. Multiwinner Voting in Genetic Algorithms for Solving Ill-Posed Global Optimization Problems
  27. Scalability of Direct Solver for Non-stationary Cahn-Hilliard Simulations with Linearized time Integration Scheme
  28. A hybrid method for inversion of 3D AC resistivity logging measurements
  29. An Agent–Oriented Hierarchic Strategy for Solving Inverse Problems
  30. A New Time Integration Scheme for Cahn-hilliard Equations
  31. Hierarchic Genetic Search with $$\alpha $$ -Stable Mutation
  32. Multi-objective Hierarchic Memetic Solver for Inverse Parametric Problems
  33. A hybrid algorithm for solving inverse problems in elasticity
  34. A hybrid method for inversion of 3D DC resistivity logging measurements
  35. A Memetic Framework for Solving Difficult Inverse Problems
  36. Asymptotic guarantee of success for multi-agent memetic systems
  37. An agent-based model of hierarchic genetic search
  38. The island model as a Markov dynamic system
  39. Asymptotic Features Of Parallel Agent-Based Immunological System
  40. A Framework for Observing Dynamics of Agent-Based Computations
  41. Asymptotic Analysis of Computational Multi-Agent Systems
  42. Evolutionary Multiobjective Optimization Algorithm as a Markov System
  43. Stochastic Model of Evolutionary and Immunological Multi-Agent Systems: Parallel Execution of Local Actions
  44. Task Hibernation in a Formal Model of Agent-Oriented Computing Systems
  45. An Existence Theorem for Wave-Type Hyperbolic Hemivariational Inequalities
  46. Existence of solutions for wave-type hemivariational inequalities with noncoercive viscosity damping
  47. A Formal Model of Multi-agent Computations