Multi-objective problems with parameter interactions can present difficulties to many optimization algorithms. We have investigated the behaviour of Simplex Crossover (SPX), Unimodal Normally Distributed Crossover (UNDX), Parent-centric Crossover (PCX), and Differential Evolution (DE), as possible alternatives to the Simulated Binary Crossover (SBX) operator within the NSGA-II (Non-dominated So...

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...

The member selection problem is an important aspect of the formation of cross-functional teams (CFTs). Selecting suitable members from a set of candidates will facilitate the successful task accomplishment. In the existing studies of member selection, the individual performance concerning a single candidate is mostly used, whereas the collaborative performance associating with a pair of candida...

Achieving aberration correction can improve the imaging quality of an optical system, and reducing error sensitivity system realizability system. In order to obtain off-axis three-mirror with high image low sensitivity, a design method is proposed which obtains initial structure anastigmatic (TMA) through nondominated sorting genetic algorithm II (NSGA-II). Combining comprehensive evaluation fu...

The grinding product particle size is the most crucial operational index of mineral processes. and consistency directly affects subsequent dressing sintering. In this paper, a novel expert system proposed for guiding operating variables to keep stable with wildly varying ore properties. First, case-based reasoning (CBR) introduced describe whole process historical data experience. Second, gener...

Wind energy is an abundant renewable resource that has been extensively used worldwide in recent years. The present work proposes a new Multi-Objective Optimization (MOO) based genetic algorithm (GA) model for wind system. proposed consists of non-dominated sorting which focuses to maximize the power extraction turbine, minimize cost generating energy, and lifetime battery. Additionally, perfor...

Voltage stability has become an important issue in planning and operation of many power systems. Contingencies such as unexpected line outages in a stressed system may often result in voltage instability, which may lead to voltage collapse. This paper presents evolutionary algorithm techniques like Genetic Algorithm (GA) and Non-dominated Sorting Genetic Algorithm II (NSGA II) approach for solv...

This research offers an improved method for the self-organization of a swarm UAVs based on social learning approach. To start, we use three different colonies and best members i.e., unmanned aerial vehicles (UAVs) randomly placed in colonies. study uses max-min ant colony optimization (MMACO) conjunction with mechanism to plan optimized path individual colony. Hereinafter, multi-agent system (M...