Algorithmic Mechanism Design of Evolutionary Computation

Table 1

Payoff matrix of different strategies; Group A and Group B are composed of individuals with the same size. Strategy 1 = “DE/best/1/bin” and strategy 2 = “DE/rand/1/bin” when it is a mutation payoff matrix; strategy 1 = “1 ≥ Cr > 0.5” and strategy 2 = “0 < Cr ≤ 0.5” when it is a crossover rate payoff matrix; strategy 1 = “1 ≥ > 0.5” and strategy 2 = “0 < ≤ 0.5” when it is a scale factor payoff matrix. presents fitness improvement (utility) of the group with the strategy.

Group B	Group A
	Strategy 1	Strategy 2
Strategy 1	,	,
Strategy 2	,	,