TAILIEUCHUNG - People vs differential evolution in search of the shortest path

The most common aim of computer game optimisation is to nd the shortest path within a game or to solve a problem of a travelling salesman within a small group of cities. This article deals with the possibilities of comparing the ascertained solutions of a given problem of human intelligence and evolutionary algorithms. | VOLUME 4 ISSUE 3 2020 September People vs Differential Evolution in Search of The Shortest Path Michal BUKÁCEK VSB - Technical University of Ostrava Department of Computer Science 17. listopadu 15 Ostrava-Poruba Czech Republic Corresponding Author Michal BUKÁCEK Email michal@ Received 27-May-2020 accepted 8-Sep-2020 published 30-Sep-2020 DOI http Abstract. The most common aim of computer 1. Introduction game optimisation is to nd the shortest path within a game or to solve a problem of a trav- elling salesman within a small group of cities. You will hardly meet a person who has never This article deals with the possibilities of com- played a computer game whether on his or her paring the ascertained solutions of a given prob- phone or on a computer. People enjoy lling lem of human intelligence and evolutionary al- the blank spaces in their free time by resting gorithms. Human intelligence is represented by while playing computer games and what s more mobile game players programmed for the An- they even organise tournaments in this activ- droid operating system by their conduct during ity. According to Syracuse University s online playing the game and by the achieved the re- MBA program 2019 10 it becomes increas- sults. Evolutionary algorithms are represented ingly popular every year to monitor computer by di erential evolution. The best possible pa- game players and certain areas are even becom- rameter estimation will be sought and compared ing as popular as watching the classic sports with the player s results. The goal is to nd pa- tournaments. Playing computer games is actu- rameter estimation of an equal or better qual- ally discussed to be possibly added among the ity in comparison with results of human players. new sports disciplines of the eSports category Another task is to verify whether this setting is Chris Beer 2019 12 at the Summer Olympic suitable for all mazes and whether people or the Games in 2024 .

• Kỹ thuật lập trình
• Travelling salesman problem
• Di erential evolution
• Parallel algorithms
• Evolution in search of the shortest path
• Differential evolution in search
• International Journal of Computer Science & Communication Networks
• Fuzzy inspired hybrid genetic approach
• Optimize travelling salesman problem
• The existing genetic algorithm results
• The define approach
• Open close multiple travelling salesmen problem
• Lexi search algorithm
• Pattern recognition technique
• Generalization of classical travelling salesman problem
• Time windows
• Variable Neighborhood Search
• General Variable Neighborhood Search
• Vehicle routing problems
• Q stripe TSP
• Adaptive memory
• Multi stripe travelling salesman problem
• Efficient Metaheuristic algorithms
• Adaptive memory technique
• Mixed integer linear programming
• Modelling code
• MIP executing quickly
• Hamiltonian cycle
• Salesman problem
• Combinatorial optimization
• System of vertexr equisitions
• Local search
• Integer programming
• Genetic Algorithm
• Optimal Recombination Problem
• Permutation problems
• Shortest Hamilton Path Problem
• Makespan Minimization
• Introduction to TCP IP Networks
• Other Types of Hardware
• Computer tips
• information technology
• computer applications
• Discrete differential evolution algorithm
• Enhancement solutions of quadratic assignment problem
• Quadratic assignment problem
• Facility layout problem
• Discrete differential eEvolution
• Tabu search algorithm
• Differential Evolution
• Famous Algorithm
• Boundary Constraints
• Constraint Functions
• Great Success
• Diversity Estimation
• Convergence Increasing
• Constrained handling
• ε Rules
• Stochastic search
• Powerful evolutionary algorithm
• Jellyfish search algorithm
• Electric power generating plant outputs
• Economic load dispatch
• Multi constraint nonlinear
• Metaheuristics algorithms
• Differential evolution algorithm