of participants (over 60%) prefer the algorithm as a decision maker over a human—but this is not driven by concerns over … decisions algorithmic decision-makers might be preferred, but actual performance of the algorithm plays an important role in how …

algorithms (PSO), as well as naïve algorithms (price-matching). When firms' algorithm choice is endogenous, we find and …

function space to establish that the POST algorithm either (i) finds the solution or (ii) demonstrates that no solution exists … (LCPs). We use the POST algorithm to value American options and compute early-exercise boundaries for Kou’s jump …

-dimension AVEs, we propose an improved glowworm swarm optimization algorithm (GSO) based on the sigmoid function for solving AVEs in … this study. The algorithm constructs an adaptive variable step-size based on the sigmoid function, which can effectively … overcome the shortcomings of the basic GSO algorithm such as slow convergence in the early iterations, poor local search …

. This paper proposes an improved backtracking search algorithm based on two new operators. It compares the ability of four … different metaheuristic algorithms, namely, a genetic algorithm, backtracking search optimization, data-mining backtracking … search optimization algorithm developed with mutual learning, and bird swarm algorithm, to optimize the placement and sizing …