Genetic Algorithm is optimization method based on the mechanics of natural genetics and
natural selection. Genetic Algorithm mimics the principle of natural genetics and natural …

List of References on Evolutionary Multiobjective Optimization Page 1 List of References on
Evolutionary Multiobjective Optimization Carlos A. Coello Coello ccoello@cs.cinvestav.mx …

One of the classic problems in NP-class is Job-Shop Scheduling Problem (JSP). It is obvious
that neither brute force nor greedy algorithm is suitable for this kind of problem. Researchers …

Large and complex construction projects require a timely supply of resources to reduce the
construction time as well as prepare a construction plan that secures the maximum …

Aggregate production planning (APP) deals with the simultaneous determination of plant's
production, inventory and vocation levels over a finite time horizon. The aim of aggregate …

This paper states a novel hybrid-metaheuristic based on deterministic swap**,
evolutionary algorithms and simulated annealing inspired algorithms for the multi-objective …

The modeling of combinatorial optimization problems has acquired great importance both
for research in mathematical processes and for companies starting new projects and …

For the execution of the real time applications and to compute the high performance of each
job, multiprocessor is the powerful tool. Such type of system highly depends on the parallel …

This paper states a novel, Evolutionary Metaheuristic Based on the Automata Theory
(EMODS) for the multiobjective optimization of combinatorial problems. The proposed …

This paper states a novel hybrid-metaheuristic based on the Theory of Deterministic
Swap**, Theory of Evolution and Simulated Annealing Meta-heuristic for the multi …