In this paper, we suggest a new multi-objective artificial bee colony (ABC) algorithm by introducing an elitism strategy. The algorithm uses a fixed-size archive that is maintained based on crowding-distance to store non-dominated solutions found during the search process. In the proposed...

In this paper, we discuss the portfolio optimization problem with real-world constraints under the assumption that the returns of risky assets are fuzzy numbers. A new possibilistic mean-semiabsolute deviation model is proposed, in which transaction costs, cardinality and quantity constraints...

Variable neighbourhood search is a metaheuristic used mainly to tackle combinatorial optimization problems. Its performance depends on having a good variable neighbourhood structure: that is, a sequence of neighbourhoods that are ideally pairwise disjoint and contain feasible solutions further...

This paper considers the Economic Lot Scheduling Problem: that is, the problem of finding a feasible schedule that allows cyclic production of several products on a single facility so as to minimize holding and set up costs. We consider the case when three products are required to be produced in...

A stochastic version of the economic lot sizing problem with pricing is presented. The control variables of the stochastic problem are the production quantities and cycle lengths for each product. The recourse variables are the sales prices and the external purchase quantities in each production...

The Economic Lot Scheduling Problem (ELSP) on a single facility (or machine) with the time-varying lot-sizes approach and with sequence-independent/sequence-dependent setup times of parts or products is studied in this paper. The objective is to minimise the long-run average inventory carrying...

The Economic Lot Scheduling Problem (ELSP) on a single facility (or machine) with the time-varying lot-sizes approach and with sequence-independent/sequence-dependent setup times of parts or products is studied in this paper. The objective is to minimise the long-run average inventory carrying...

This paper proposes a bi-level transit network design problem where the transit routes and frequency settings are determined simultaneously. The upper-level problem is formulated as a mixed integer non-linear program with the objective of minimizing the number of passenger transfers, and the...

Optimal power flow (OPF) objective functions involve minimization of the total fuel costs of generating units, minimization of atmospheric pollutant emissions, minimization of active power losses and minimization of voltage deviations. In this paper, a fuzzy multi-objective OPF model is...

Pareto-based multi-objective optimization algorithms prefer non-dominated solutions over dominated solutions and maintain as much as possible diversity in the Pareto optimal set to represent the whole Pareto-front. This paper proposes three multi-objective Artificial Bee Colony (ABC) algorithms...