Combining The Strengths Of Bayesian Optimization Algorithm And Adaptive Evolution Strategies

Combining the Strengths of the Bayesian Optimization Algorithm and Adaptive Evolution Strategies

This paper proposes a method that combines competent genetic algorithms working in discrete domains with adaptive evolution strategies working in continuous domains. We use discretization to transform solution between the two domains. The results of our experiments with the Bayesian optimization algorithm as a discrete optimizer and -selfadaptive mutation of evolution strategies as a continuous...

Developing Adaptive Differential Evolution as a New Evolutionary Algorithm, Application in Optimization of Chemical Processes

Control of nonlinear systems using a hybrid APSO-BFO algorithm: An optimum design of PID controller

This paper proposes a novel hybrid algorithm namely APSO-BFO which combines merits of Bacterial Foraging Optimization (BFO) algorithm and Adaptive Particle Swarm Optimization (APSO) algorithm to determine the optimal PID parameters for control of nonlinear systems. To balance between exploration and exploitation, the proposed hybrid algorithm accomplishes global search over the whole search spa...

Control of nonlinear systems using a hybrid APSO-BFO algorithm: An optimum design of PID controller

This paper proposes a novel hybrid algorithm namely APSO-BFO which combines merits of Bacterial Foraging Optimization (BFO) algorithm and Adaptive Particle Swarm Optimization (APSO) algorithm to determine the optimal PID parameters for control of nonlinear systems. To balance between exploration and exploitation, the proposed hybrid algorithm accomplishes global search over the whole search spa...

Developing Self-adaptive Melody Search Algorithm for Optimal Operation of Multi-reservoir Systems

Operation of multi-reservoir systems is known as complicated and often large-scale optimization problems. The problems, because of broad search space, nonlinear relationships, correlation of several variables, as well as problem uncertainty, are difficult requiring powerful algorithms with specific capabilities to be solved. In the present study a Self-adaptive version of Melody Search algorith...