the aim of a multi-mode resource-constrained project scheduling problem (mrcpsp) is to assign resource(s) with the restricted capacity to an execution mode of activities by considering relationship constraints, to achieve pre-determined objective(s). these goals vary with managers or decision makers of any organization who should determine suitable objective(s) considering organization strategi...

This paper presents a novel method on the optimization of bi-objective Flexible Job-shop Scheduling Problem (FJSP) under stochastic processing times. The robust counterpart model and the Non-dominated Sorting Genetic Algorithm II (NSGA-II) are used to solve the bi-objective FJSP with consideration of the completion time and the total energy consumption under stochastic processing times. The cas...

In this work we give an extension of Kauffman’s NKLandscapes to multiobjective MNK-Landscapes in order to study the effects of epistasis on the performance of multiobjective evolutionary algorithms (MOEAs). This paper focuses on the development of multiobjective random one-bit climbers (moRBCs). We incrementally build several moRBCs and analyze basic working principles of state of the art MOEAs...

A design and optimization of 3-5 GHz single ended Radio Frequency (RF) Low Noise Amplifier (LNA) for ultra-wide-band (UWB) applications using standard UMC 0.18 μm CMOS technology is reported. Designing of RF circuit components is a challenging job, since even after performing lengthy calculations and finding parameter values it is less guarantee that the design performs as expected. In view of ...

This paper proposes a Stochastic Chance-Constrained Programming Model (SCCPM) for the supplier selection problem to select best suppliers offering incremental volume discounts in a conflicting multi-objective scenario and under the event of uncertainty. A Fast Non-dominated Sorting Genetic Algorithm (NSGA-II), a variant of GA, adept at solving Multi Objective Optimization, is used to obtain the...

<span>Multi-objective algorithms are used to achieve high performance for quality of service (QoS) in wireless sensor networks (WSNs) is an important field researchers because these improve two or more conflicting objectives and present the best trade-off between solve multi-objective problems (MOPs). Previous research proposed algorithm that relies on non-dominated sorting genetic 3 (NSG...

Minimizing the makespan is an important research topic in manufacturing engineering because it accounts for significant production expenses. In bakery manufacturing, ovens are high-energy-consuming machines that run throughout time. Finding optimal combination of and oven idle time decisive objective space can result substantial financial savings. This paper investigates hybrid no-wait flow sho...

In order to improve production control ability in the gold ore flotation process, output index this process was studied. Flotation is an effective recovery process. Gold concentrate grade and rate are key indicators of However, existing studies exploring impact parameter changes on indicators, insufficient, interaction between variables inadequately considered. Therefore, a multi-objective opti...

Electro-thermal co-design of power modules is required to maximize the capabilities promising semiconductor devices. The chip layout on substrate, which restricted by size module determines electrical and thermal characteristics module. This paper proposes a optimization strategy for based multiobjective electro-thermal design algorithm. parasitic inductance resistance SiC are evaluated using u...

Optimum controller placement in the presence of several conflicting objectives has received significant attention Software-Defined Wide Area Network (SD-WAN) deployment. Multi-objective evolutionary algorithms, like Non-dominated Sorting Genetic Algorithm II (NSGA-II) and Particle Swamp Optimization (MOPSO), have proved helpful solving Controller Placement Problem (CPP) SD-WAN. However, these a...