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Updated: Aug 10, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
Evolutionary algorithms for the satisfiability problem
Jens Gottlieb1, Elena Marchiori, Claudio Rossi
1SAP AG, Neurottstrasse 16, 69190 Walldorf, Germany. jens.gottlieb@sap.com
Abstract:
Several evolutionary algorithms have been proposed for the satisfiability problem. We review the solution representations suggested in literature and choose the most promising one - the bit string representation - for further evaluation. An empirical comparison on commonly used benchmarks is presented for the most successful evolutionary algorithms and for WSAT, a prominent local search algorithm for the satisfiability problem. The key features of successful evolutionary algorithms are identified, thereby providing useful methodological guidelines for designing new heuristics. Our results indicate that evolutionary algorithms are competitive to WSAT.
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