How long should individual learning be run?
Individual learning intensity, til, is the amount of computational budget allocated to an iteration of individual learning, i.e., the maximum computational budget allowable for individual learning to expend on improving a single solution.
What individual learning method or meme should be used for a particular problem or individual?
In the context of continuous optimization, individual learning/individual learning exists in the form of local heuristics or conventional exact enumerative methods . Examples of individual learning strategies include the hill climbing, Simplex method, Newton/Quasi-Newton method, interior point methods, conjugate gradient method, line search and other local heuristics. Note that most of common individual learninger are deterministic.
In combinatorial optimization, on the other hand, individual learning methods commonly exists in the form of heuristics (which can be deterministic or stochastic), that are tailored to serve a problem of interest well. Typical heuristic procedures and schemes include the k-gene exchange, edge exchange, first-improvement, and many others.
Individual learning intensity, til, is the amount of computational budget allocated to an iteration of individual learning, i.e., the maximum computational budget allowable for individual learning to expend on improving a single solution.
What individual learning method or meme should be used for a particular problem or individual?
In the context of continuous optimization, individual learning/individual learning exists in the form of local heuristics or conventional exact enumerative methods . Examples of individual learning strategies include the hill climbing, Simplex method, Newton/Quasi-Newton method, interior point methods, conjugate gradient method, line search and other local heuristics. Note that most of common individual learninger are deterministic.
In combinatorial optimization, on the other hand, individual learning methods commonly exists in the form of heuristics (which can be deterministic or stochastic), that are tailored to serve a problem of interest well. Typical heuristic procedures and schemes include the k-gene exchange, edge exchange, first-improvement, and many others.