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Computational intelligence and feature selection: rough and fuzzy approaches
The rough and fuzzy set approaches presented here open up many new frontiers for
continued research and development Computational Intelligence and Feature Selection …
continued research and development Computational Intelligence and Feature Selection …
Satisfiability solvers
Publisher Summary The past few years have seen enormous progress in the performance of
Boolean satisfiability (SAT) solvers. Despite the worst-case exponential run time of all known …
Boolean satisfiability (SAT) solvers. Despite the worst-case exponential run time of all known …
Ant colony optimization
Swarm intelligence is a relatively new approach to problem solving that takes inspiration
from the social behaviors of insects and of other animals. In particular, ants have inspired a …
from the social behaviors of insects and of other animals. In particular, ants have inspired a …
[LLIBRE][B] Handbook of satisfiability
“Satisfiability (SAT) related topics have attracted researchers from various disciplines: logic,
applied areas such as planning, scheduling, operations research and combinatorial …
applied areas such as planning, scheduling, operations research and combinatorial …
[LLIBRE][B] Handbook of constraint programming
Constraint programming is a powerful paradigm for solving combinatorial search problems
that draws on a wide range of techniques from artificial intelligence, computer science …
that draws on a wide range of techniques from artificial intelligence, computer science …
[LLIBRE][B] How to solve it: modern heuristics
Z Michalewicz, DB Fogel - 2013 - books.google.com
No pleasure lasts long unless there is variety in it. Publilius Syrus, Moral Sayings We've
been very fortunate to receive fantastic feedback from our readers during the last four years …
been very fortunate to receive fantastic feedback from our readers during the last four years …
Stable models and an alternative logic programming paradigm
VW Marek, M Truszczyński - The logic programming paradigm: A 25-year …, 1999 - Springer
In this paper we reexamine the place and role of stable model semantics in logic
programming and contrast it with a least Herbrand model approach to Horn programs. We …
programming and contrast it with a least Herbrand model approach to Horn programs. We …
[LLIBRE][B] Handbook of knowledge representation
Handbook of Knowledge Representation describes the essential foundations of Knowledge
Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up …
Representation, which lies at the core of Artificial Intelligence (AI). The book provides an up …
Hyper-heuristics: An emerging direction in modern search technology
This chapter introduces and overviews an emerging methodology in search and
optimisation. One of the key aims of these new approaches, which have been termed …
optimisation. One of the key aims of these new approaches, which have been termed …
[PDF][PDF] Noise strategies for improving local search
It has recently been shown that local search is surprisingly good at f? inding satisfying
assignments for certain computationally hard classes of CNF formulas. The performance of …
assignments for certain computationally hard classes of CNF formulas. The performance of …