TAILIEUCHUNG - An alternative differential evolution algorithm for global optimization

The purpose of this paper is to present a new and an alternative differential evolution (ADE) algorithm for solving unconstrained global optimization problems. In the new algorithm, a new directed mutation rule is introduced based on the weighted difference vector between the best and the worst individuals of a particular generation. The mutation rule is combined with the basic mutation strategy through a linear decreasing probability rule. This modification is shown to enhance the local search ability of the basic DE and to increase the convergence rate. Two new scaling factors are introduced as uniform random variables to improve the diversity of the population and to bias the search direction. Additionally, a dynamic non-linear increased crossover probability scheme is utilized to balance the global exploration and local exploitation. Furthermore, a random mutation scheme and a modified Breeder Genetic Algorithm (BGA) mutation scheme are merged to avoid stagnation and/or premature convergence. Numerical experiments and comparisons on a set of well-known high dimensional benchmark functions indicate that the improved algorithm outperforms and is superior to other existing algorithms in terms of final solution quality, success rate, convergence rate, and robustness. | An alternative differential evolution algorithm for global optimization

• Toán học
• Differential evolution
• Directed mutation
• Global optimization
• Modified BGA mutation
• Dynamic non linear crossover
• Journal of Computer Science and Cybernetics
• Novel optimal coordinated voltage control for distribution networks
• Differential evolution technique
• Coordinated voltage control CVC method
• Differential Evolution DE algorithm
• Active power loss minimization
• On Load Tap Changing OLTC
• Image thresholding
• Linear population size reduction algorithm
• History based adaptive differential evolution
• Maximizes the separation
• Direct design
• Nonlinear inelastic analysis
• Self adaptive mutation differential evolution
• Members of truss structures
• Travelling salesman problem
• Di erential evolution
• Parallel algorithms
• Evolution in search of the shortest path
• Differential evolution in search
• Discrete differential evolution algorithm
• Enhancement solutions of quadratic assignment problem
• Quadratic assignment problem
• Facility layout problem
• Discrete differential eEvolution
• Tabu search algorithm
• Vietnam Journal of Mechanics
• Reservoir optimization with differential evolution
• Non linear Programming
• Undifferential optimal function
• DE to Pleikrong
• Engineering optimization by constrained differential evolution
• Nearest neighbor comparison
• State of the art DE variants
• The proposed DE algorithm
• Benchmark engineering design problems
• Optimal coordinated voltage control
• Distributed generators
• On load tap changing
• Nearest neighbor
• Function evaluation reduction
• K nearest neighbor predictor
• Evolutionary algorithm
• Electronic Engineering
• Power system
• Optimal power flow
• Improved hybrid differential evolution algorithm
• Particle swarm optimization
• Learning mechanism
• Replacement mechanism
• Mezura Montes feasibility rules
• Retaining wall design
• Civil engineering
• Panel zone
• Steel frame
• Steel moment frames with panel zone design
• Improved differential evolution algorithm
• Timoshenko composite laminated beam
• Elitist operator
• Roulette wheel selection
• Deterministic global optimization
• Multilayer T S Fuzzy
• Inverse controller
• Adaptive control
• Lyapunov theory
• Constrained optimization
• Feasibility rules
• Solving constrained optimization problems
• Developed in visual C#
• Information and communication technology
• Multi objectives memetic
• Solving the container pre marshalling problem
• Multiobjectives optimization algorithm
• Container pre marshalling problem
• Steel roof trusses
• Machine learning assisted differential evolution
• Hybrid Meta heuristic model
• Pair wise exchange heuristic algorithm
• Multi objectives genetic algorithm
• Information sciences
• Novelty hybrid fitness
• Driving differential evolution algorithm
• Novelty based driving force
• Adjustment of population size
• Adaptive scaling factors
• Journal of Science and Technology in Civil Engineering
• Arithmetic optimization algorithm
• Meta heuristic
• Truss structure
• Frequency constraints
• Bài giảng Tính toán tiến hóa
• Tính toán tiến hóa
• Differential evolution (DE)
• Giải thuật tiến hóa sai phân
• Thuật toán tối ưu ngẫu nhiên
• Toán tử đột biến
• Differential evolution algorithm
• Genetic algorithm
• Fuel reloading optimization
• Nuclear reactor
• Meta heuristic approaches
• Famous Algorithm
• Boundary Constraints
• Constraint Functions
• Great Success
• Diversity Estimation
• Convergence Increasing
• Complex network
• Aggregated network
• Weighted clustering coefficient
• Node strength
• Differential evolution algorithm for multi commodity
• Multi level of service hub covering location problem
• Service hub covering location problem
• Proposed DE algorithm
• Multi level of service