We present a hybrid fuzzy rule-based multi-objective framework for sustainable project portfolio selection.
In this paper, we formulate a multi-objective framework for long tail items recommendation.
This study presents the solution of various optimal control problems for a seeded batch crystallizer within a multi-objective framework.
In this paper we present an analytical multi-objective framework for the concurrent design of product and processes.
In this method, an epsilon constraint is integrated with PSO (particle swarm optimization) as a multi-objective framework.
The introduction of the monotonic test in a multi-objective framework may be effective, and its accuracy is confirmed by the results of pseudo-dynamic tests.
The objective functions of the proposed multi-objective framework comprise simultaneous minimization of cost and thermal units' emission as well as maximizing heat generation.
While the returned PIs are poor when single-objective swarm optimization is employed, substantial improvements are recorded when a multi-objective framework is considered for ANN development.
It is found that the proposed genetic algorithm based multi-objective framework can be implemented to multi-dimensional engineering problems to obtain the Pareto-optimal set.
The general formulation we propose is applicable to production and economic indicators, in a single- or multi-objective framework, and explicitly accounts for the decision maker's attitude: neutrality to downsides and upsides, minimizing exposure to downsides, and exploiting potential upsides.
