The process of multiple criteria decision making (MCDM) is of determining the best choice among all of the probable alternatives. The problem of supplier selection on which decision maker has usually vague and imprecise knowledge is a typical example of multi criteria group decision-making problem. The conventional crisp techniques has not much effective for solving MCDM problems because of imp...

This study investigates how the priority rankings for dam construction sites vary with multi-criteria decision making (MCDM) techniques and generation approaches for incomplete information. Strategic environmental assessment (SEA) seeks to recommend sustainable dam construction sites based on their environmental and ecological impacts in a long-term plan for dam construction (LPDC) in South Kor...

Multi-objective optimization is a class of problems with solutions that can be evaluated along two or more incomparable or conflicting objectives. These types of problems differ from standard optimization problems in that the end result is not a single “best solution” but rather a set of alternatives, where for each member of the set, no other solution is completely better (the Pareto set). Mul...

Objective-CP is an optimization system that views an optimization program as the combination of a model. a search, and a solver. Models in Objective-CP follow the modeling style of constraint programming and are concretized into specific solvers. Search procedures are specified in terms of high-level nondeterministic constructs, search combinators, and node selection strategies. Objective-CP su...

We introduce a new multi-objective optimization (MOO) methodology based the splitting technique for rare-event simulation. The method generalizes the elite set selection of the traditional splitting framework, and uses both local and global sampling to sample in the decision space. In addition, an ε-dominance method is employed to maintain good solutions. The algorithm was compared with state-o...

In this paper, application of a multi-objective evolutionary algorithms is explored for solving multi-objective placement, packing, or layout problems. Placement problems are optimization problems concerned with finding an optimal arrangement of multiple items in a large containing region while satisfying prescribed requirements and constraints. This study is applied to the configuration design...

The common search for a Pareto-optimal set, and the associated front, usually serves as a preprocessing stage for a Multi-Criteria Decision Making (MCDM). In that case the optimization provides information to support the selection of a final solution from a feasible space of solutions. Here, we are interested in a rather different MCDM problem and its associated preprocessing stage. Our study c...

The TODIM is a valuable technique for solving classical MCDM problems in case of considering the decision maker’s psychological behavior. One main goal of this chapter is to introduce the measured functions-based hesitant fuzzy TODIM technique to deal with the behavioral MCDM problem under hesitant fuzzy environments. The main advantages of this technique are that (1) it can handle the MCDM pro...

This paper presents a novel scheduling of resource-constrained Flexible Manufacturing System (FMS) with consideration the following sub-problems: (i) machine loading and unloading, (ii) manufacturing operation scheduling, (iii) assignment, (iv) Automated Guided Vehicle (AGV) scheduling. In proposed model, both AGV machinery are considered as required resources. Energy efficiency AGVs has been s...