The purpose of this paper is to develop a new two-stage method for fuzzy multi-objective linear program and apply to engineering project portfolio selection. In the fuzzy multi-objective linear program, all the objective coefficients, technological coefficients and resources are trapezoidal fuzzy numbers (TrFNs). An order relationship for TrFNs is introduced by using the interval expectation of...

In this paper a new artificial immune system (AIS) algorithm is proposed to solve multi objective fuzzy flow shop scheduling problems. A new mutation operator is also described for this AIS. Fuzzy sets are used to model processing times and due dates. The objectives are to minimize the average tardiness and the number of tardy jobs. The developed new AIS algorithm is tested on real world data c...

This paper presented a new two-stage green supply chain network, in which includes two innovations. Firstly, it presents a new multi-objective model for a two-stage green supply chain problem that considers the amount o...

This paper studies a location–routing–inventory problem in a multi-period closed-loop supply chain with multiple suppliers, producers, distribution centers, customers, collection centers, recovery, and recycling centers. In this supply chain, centers are multiple levels, a price increase factor is considered for operational costs at centers, inventory and shortage (including lost sales and back...

Abstract A variety of meta-heuristics have shown promising performance for solving multi-objective optimization problems (MOPs). However, existing may the best on particular MOPs, but not perform well other MOPs. To improve cross-domain ability, this paper presents a hyper-heuristic algorithm based adaptive epsilon-greedy selection (HH_EG) select and combine low-level heuristics (LLHs) during e...

this paper deals with the product mix problem using the concept of theory of constraints (toc). theory of constraints is one of the most efficient approaches which have been applied to solve the product mix problem heuristically. although there are numerous heuristic and meta-heuristics to solve this problem, finding the optimal solution in a reasonable time is still a challenging issue. in thi...

Abstract Optimization problems are frequent in several fields, such as the different branches of Engineering. In some cases, objective function exposes mathematically exploitable properties to find exact solutions. However, when it is not case, heuristics appreciated. This situation occurs involves numerical simulations and sophisticated models reality. Then, population-based meta-heuristics, g...

This paper describes how meta-level theories are used for analytic learning in MULTI-TAC. MULTI-TAC operationalizes generic heuristics for constraint-satisfaction problems, in order to create programs that are tailored to specific problems. For each of its generic heuris-tics, MULTI-TAC has a meta-theory specifically designed for operationalising that heuris-tic. We present examples of the spec...

optimal allocation of water resources is an essential service in agriculture that must be considered by farmers. one of the most significant factors in optimal allocation of water resources in agriculture is to define optimal farm cropping pattern. in this study, in order to determine optimal cropping pattern and water resources allocation in central district of mashhad city (toos village), the...

A new algorithm is proposed to learn fuzzy partitions with a high interpretability degree. The set of input variables, the number of linguistic terms per variable, and the type (triangular or trapezoidal) and parameters of the membership functions are learnt by means of a meta-algorithm that uses a simple learning method to generate a fuzzy rule set from the derived fuzzy partitions. Interpreta...