Many real-world scheduling problems are solved to obtain optimal solutions in term of processing time, cost, and quality as optimization objectives. Currently, energy-efficiency is …
Untitled Page 1 Page 2 Natural Computing Series Series Editors: G. Rozenberg Th.Bäck AEEiben JNKok HPSpaink Leiden Center for Natural Computing AdvisoryBoard: S.Amari G.Brassard …
D Whitley, JP Watson - … : Introductory tutorials in optimization and decision …, 2005 - Springer
This tutorial reviews basic concepts in complexity theory, as well as various No Free Lunch results and how these results relate to computational complexity. The tutorial explains basic …
A Davenport, C Gefflot, C Beck - Sixth European conference on …, 2014 - cdn.aaai.org
Many scheduling systems assume a static environment within which a schedule will be executed. The real world is not so stable: machines break down, operations take longer to …
M Füchtenhans, CH Glock - International Journal of Production …, 2024 - Taylor & Francis
Given the high demand for energy in the manufacturing industry and the increasing use of renewable but volatile energy sources, it becomes increasingly important to coordinate …
The use of random test problems to evaluate algorithm performance raises an important, and generally unanswered, question: Are the results generalizable to more realistic …
E Hebrard, B Hnich, T Walsh - … on integration of artificial intelligence (AI) …, 2004 - Springer
To improve solution robustness, we introduce the concept of super solutions to constraint programming. An (a, b)-super solution is one in which if a variables lose their values, the …
J McDermott - SN Computer Science, 2020 - Springer
Abstract The No Free Lunch (NFL) theorem for search and optimisation states that averaged across all possible objective functions on a fixed search space, all search algorithms …