Developing a reasonable and efficient emergency material scheduling plan is of great significance to decreasing casualties property losses. Real-world (EMS) problems are typically large-scale possess complex constraints. An evolutionary algorithm (EA) one the effective methods for solving EMS problems. However, existing EAs still face challenges when dealing with or equality To handle above cha...

Feature selection is a multi-objective problem with the two main conflicting objectives of minimising the number of features and maximising the classification performance. However, most existing feature selection algorithms are single objective and do not appropriately reflect the actual need. There are a small number of multi-objective feature selection algorithms, which are wrapper based and ...

In this research, a bi-objective scheduling problem with controllable processing times on identical parallel machines is investigated. The direction of this paper is mainly motivated by the adoption of the just-in-time (JIT) philosophy on identical parallel machines in terms of bi-objective approach, where the job processing times are controllable. The aim of this study is to simultaneously min...

Cloud federation enables service providers to collaborate provide better services customers. For cloud storage services, optimizing customer object placement for a member of is real challenge. Storage, migration, and latency costs need be considered. These are contradictory in some cases. In this article, we modeled as multi-objective optimization problem. The proposed model takes into account ...

Traditional solution methods such as search and sort for optimising complex real life engineering problems can be very expensive in terms of computational time. The considerable execution time tends to inhibit elaborate exploration of the design space and often results to sub-optimal solutions. This paper reports on an engineering optimisation approach designed to bridge the gap between traditi...

This study contributes a stochastic, multi-objective adaptation of the classic environmental economics Lake Problem as a computationally simple but mathematically challenging benchmarking problem. The Lake Problem considers a hypothetical town by a lake, which hopes to maximize its economic benefit without crossing a nonlinear, and potentially irreversible, pollution threshold. Optimization obj...

THE DRP (dial a ride problem) consists on determining and planifiying the operated tours of vehicles in order to satisfy the user’s requests hoping to become origin’s points to destination’s points. The DRP is bind to NPdifficult problems, in order to solve it, many researchers have been used multi objective approached methods; actually our approach consists on reducing the number of vehicles, ...

Oscillations are an intrinsic phenomenon in interconnected power systems, leading to steady-state stability, safety decline, transmission limitation, and electric systems’ ineffective exploitation by developing particularly connecting these systems low-load lines. In addition, they affect the economic performance of systems. this study, PSS2B system stabilizers TCSC compensators used improve st...