In optimization (a branch of mathematics) and search algorithms (a topic in computer science), a candidate solution is a member of a set of possible solutions to a given problem. A candidate solution does not have to be a likely or reasonable solution to the problem – it is simply in the set that satisfies all constraints.
The space of all candidate solutions is called the feasible region, feasible set, search space, or solution space.
In the case of the genetic algorithm, the candidate solutions are the individuals in the population being evolved by the algorithm.
Famous quotes containing the words candidate and/or solution:
“A candidate once called his opponent “a willful, obstinate, unsavory, obnoxious, pusillanimous, pestilential, pernicious, and perversable liar” without pausing for breath, and even his enemies removed their hats.”
—Federal Writers’ Project Of The Wor, U.S. public relief program (1935-1943)
“Give a scientist a problem and he will probably provide a solution; historians and sociologists, by contrast, can offer only opinions. Ask a dozen chemists the composition of an organic compound such as methane, and within a short time all twelve will have come up with the same solution of CH4. Ask, however, a dozen economists or sociologists to provide policies to reduce unemployment or the level of crime and twelve widely differing opinions are likely to be offered.”
—Derek Gjertsen, British scientist, author. Science and Philosophy: Past and Present, ch. 3, Penguin (1989)