Statistical Methods and Analyses for Optimization Algorithms and Artificial Intelligence
In the perspective of analyzing the stochastic algorithms, a concept of presenting a single solution per problem type is typically incorrect and far from a fair comparison. Such algorithms shall run for n number of trials before initiating its respective perfomance. As a benchmark to a known standard such as CEC 2017 that requires 25 number of trials with 20000*D maximum number of function eval...
In the perspective of analyzing the stochastic algorithms, a concept of presenting a single solution per problem type is typically incorrect and far from a fair comparison. Such algorithms shall run for n number of trials before initiating its respective perfomance. As a benchmark to a known standard such as CEC 2017 that requires 25 number of trials with 20000*D maximum number of function eval...
