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CEC
2009
IEEE
15 years 8 months ago
Local search based evolutionary multi-objective optimization algorithm for constrained and unconstrained problems
Abstract— Evolutionary multi-objective optimization algorithms are commonly used to obtain a set of non-dominated solutions for over a decade. Recently, a lot of emphasis have be...
Karthik Sindhya, Ankur Sinha, Kalyanmoy Deb, Kaisa...
EOR
2008
133views more  EOR 2008»
15 years 1 months ago
Investigating a hybrid simulated annealing and local search algorithm for constrained optimization
Constrained Optimization Problems (COP) often take place in many practical applications such as kinematics, chemical process optimization, power systems and so on. These problems ...
Chandra Sekhar Pedamallu, Linet Özdamar
MTV
2003
IEEE
126views Hardware» more  MTV 2003»
15 years 7 months ago
Heuristic Backtracking Algorithms for SAT
In recent years backtrack search SAT solvers have been the subject of dramatic improvements. These improvements allowed SAT solvers to successfully replace BDDs in many areas of f...
Ateet Bhalla, Inês Lynce, José T. de ...
EUROGP
2004
Springer
15 years 7 months ago
Constrained Molecular Dynamics as a Search and Optimization Tool
Abstract. In this paper we consider a new class of search and optimization algorithms inspired by molecular dynamics simulations in physics.
Riccardo Poli, Christopher R. Stephens
PRICAI
2004
Springer
15 years 7 months ago
Solving Over-Constrained Temporal Reasoning Problems Using Local Search
Temporal reasoning is an important task in many areas of computer science including planning, scheduling, temporal databases and instruction optimisation for compilers. Given a kno...
Matthew Beaumont, John Thornton, Abdul Sattar, Mic...