Genetic Algorithms - Weighted MAX-SAT - IT Computer Science Assignment Help

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Genetic Algorithms - Weighted MaxSAT 
MAX-SAT is the optimization variant of SAT. Given a set of clauses, MAX-SAT is the problem to find a variable assignment that maximizes the number of satisfied clauses. In weighted MAX-SAT additionally a weight wi is assigned to each clause and the goal becomes to maximize the weight of the satisfied clauses. (Alternatively, the objective function could be defined as to minimize the weight of the unsatisfied clauses.)

Algorithm

In this part of the assignment, you will write a program that solves the Weighted MaxSAT problem using Genetic Algorithms.
The input of our program is a formula in conjunctive normal form. We evolve a population of variable assignments such that the sum of weights of satisfied clauses is maximised. Note our objective value here will start off low (e.g. the lowest possible value is 0, which is the unlikely case that all clauses are unsatisfied by an assignment of truth values to our variables) and increase across generations.

 

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