A new optimal weapon target assignment method using an artificial fish swarm algorithm with survival evolution

IF 1.5 4区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Ningjun Xu, Miaomiao Sun, Zhangsong Shi, Jin Zhang
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引用次数: 0

Abstract

Purpose

Firepower conflicts usually decay the firepower plan's enforceability, thus incurring high survival risks. Previous studies have shown little attention to avoiding firepower conflicts during the weapon target assignment process. This research proposes a new constrained optimization model named Firepower Conflict Free WTA (FCFWTA) and designs a Survival Evolution (SE) strategy for Artificial Fish Swarm Algorithm (AFSA) to solve the complex constrained WTA problem. In this way, commanders can get more reliable firepower assignment decision support.

Design/methodology/approach

A new constrained optimization model named Firepower Conflict Free WTA (FCFWTA) is constructed. FCFWTA unifies firepower decision variables for different kinds of weapons and takes the firing time point as a clue for firepower conflict checking. The objective function of FCFWTA is the weighted sum of the minimum threat value rest rate (RRTV), maximum hit efficiency (HE) and minimum latest interception time percentage (PLT). Since previous algorithms do not check and resolve intermediate results during optimization, an adapted strategy named Survival Evolution is designed. It enables making full use of the limited firepower without adjusting the coordination scenario in execution.

Findings

The proposed method offers significant advantages in two aspects. Firstly, it effectively enhances the optimization results of WTA in the absence of firepower conflicts. Evidence from Figure. 6 confirms that without the proposed method, there is a high likelihood of generating invalid outcomes. After implementing firepower conflict check and resolution, there is a substantial degradation in the objective function value. Secondly, the method excels at equitably distributing firepower among multiple targets while also enhancing the overall interception probability, irrespective of the varying complexities presented by different scenarios. This ability to maintain balance and efficiency is crucial for tackling defense-related issues.

Research limitations/implications

Specifically, SE is tailored for MWMT problem under time and space constraints. This approach diverges significantly from conventional MWMT research, which typically focuses solely on ammunition quantity or firing range. Consequently, the primary objective was to verify the efficacy of this method. Test results indicated that SE does not exhibit uniform performance across different algorithms; while it significantly enhances the efficacy with PSO and AFSA, its influence is considerably diminished when applied to GA. It might be attributed to the inherent randomness associated with crossover and mutation, which can increase the likelihood of firepower conflicts, coupled with SE's reorganization of the chromosome.

Originality/value

The work described was original research that has not been published previously, and not under consideration for publication elsewhere, in whole or in part.

使用人工鱼群算法与生存进化的新型最佳武器目标分配方法
目的火力冲突通常会降低火力计划的可执行性,从而带来很高的生存风险。以往的研究很少关注在武器目标分配过程中避免火力冲突。本研究提出了一种名为 "火力无冲突 WTA(FCFWTA)"的新约束优化模型,并设计了人工鱼群算法(AFSA)的生存进化(SE)策略来解决复杂的约束 WTA 问题。设计/方法/途径构建了一个名为 "火力无冲突 WTA(FCFWTA)"的新约束优化模型。FCFWTA 统一了不同种类武器的火力决策变量,并以发射时间点为线索进行火力冲突检查。FCFWTA 的目标函数是最小威胁值休息率(RRTV)、最大命中效率(HE)和最小最新拦截时间百分比(PLT)的加权和。由于之前的算法在优化过程中无法检查和解决中间结果,因此设计了一种名为 "生存进化 "的调整策略。研究结果所提出的方法在两个方面具有显著优势。首先,它能在没有火力冲突的情况下有效提高 WTA 的优化结果。图 6 证明了这一点。图 6 证实,如果不采用所提出的方法,就很有可能产生无效结果。在实施火力冲突检查和解决后,目标函数值会大幅下降。其次,该方法擅长在多个目标之间公平分配火力,同时还能提高总体拦截概率,而不受不同场景所带来的不同复杂性的影响。这种保持平衡和效率的能力对于解决国防相关问题至关重要。研究局限/意义具体而言,SE 是针对时间和空间限制下的 MWMT 问题量身定制的。这种方法与传统的 MWMT 研究大相径庭,后者通常只关注弹药数量或射击范围。因此,首要目标是验证这种方法的有效性。测试结果表明,SE 在不同算法中的表现并不一致;虽然它显著提高了 PSO 和 AFSA 的效率,但在应用于 GA 时,其影响却大大减弱。这可能是由于交叉和变异具有固有的随机性,会增加火力冲突的可能性,再加上 SE 对染色体的重组。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Engineering Computations
Engineering Computations 工程技术-工程:综合
CiteScore
3.40
自引率
6.20%
发文量
61
审稿时长
5 months
期刊介绍: The journal presents its readers with broad coverage across all branches of engineering and science of the latest development and application of new solution algorithms, innovative numerical methods and/or solution techniques directed at the utilization of computational methods in engineering analysis, engineering design and practice. For more information visit: http://www.emeraldgrouppublishing.com/ec.htm
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