Chapter Eighteen: Search economics
Abstract
A new promising metaheuristic algorithm, named search economics (SE), is described in this chapter. The unique characteristics of SE are that it first divides the solution space into a set of subspaces (regions) and then uses the expected value of a region to replace the objective or fitness value of a solution to determine later search directions. The expected value is inspired by the return on investment (ROI), which is composed of the following pieces of information: (1) status of investment, (2) potential of investment, and (3) the landscape of each region. The major operators of SE—namely, resource arrangement, vision search, and marketing research—are also described. SE is applied to the one-max ...
Get Handbook of Metaheuristic Algorithms now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
