Discuss evolutionary algorithms for decision making. Design a fitness function using clustering for

selection of appropriate career for students. Here different possible decisions compete for winning and

then there is multi$-$point cross over and mutation to create new possible decision guidelines. Design a

detailed genetic algorithm$-$based approach for the same. Provide pseudo code. In one scenario provide

solution for career route while in other scenario provide it for the destination. What are local maxima

problems in this case? Design one genetic operator based on entropy to overcome local maxima problem