Application of nature inspired algorithms for multi-objective inventory control scenarios

Emergent nature inspired algorithms for multi-objective optimization

Brief description of the topic: Many real-world decision-making situations possess both a discrete or combinatorial structure and involve the simultaneous consideration of conflicting objectives. Problems of this kind are in general of large size and contains several objectives to be “optimized”. Although Multiple Objective Optimization is a well-established field of research, one branch, namel...

Advances in Multi-Objective Nature Inspired Computing

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Nature-Inspired Particle Mechanics Algorithm for Multi-Objective Optimization

In many real world optimization problems, several optimization goals have to be considered in parallel. For this reason, there has been a growing interest in multi-objective optimization (MOO) in the past many years. Several new approaches have recently been proposed, which produced very good results. However, existing techniques have solved mainly problems of “low dimension”, i.e., with less t...

Bio-Inspired Algorithms and Preferences for Multi-objective Problems

Routing Improvement for Vehicular Ad Hoc Networks (VANETs) Using Nature Inspired Algorithms

are a subset of MANETs in which vehicles are considered as network clients. These networks have been created to communicate between vehicles and traffic control on the roads. have similar features to MANETs and their main special property is the high-speed node mobility which makes a quick change of the network. The rapid change of network topology is a major challenge in routing. One of the we...