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Multi-Agent Search-Type Problems on Polygons

Konstantinos Georgiou, Caleb Jones, Jesse Lucier

TL;DR

The paper tackles multi-agent search with discrete target locations arranged as regular polygons, introducing the Polygon Priority Evacuation problem $\sc{PE}^{n}_{k}$ and related disk variants under wireless communication. It combines nonlinear program (NLP) formulations with linear program (LP) relaxations to derive upper and lower bounds for $\sc{PE}^{n}_{k}$, $\sc{DE}_{k}$, and $\sc{PE}^{n}(w)$, $\sc{DE}(w)$ across a range of $n$ and $k$ (notably up to $n\le 13$ and $k\le 4$). The authors achieve improved lower bounds for $\sc{DE}_{1}$ and $\sc{DE}_{2}$, and, through new analyses of $11$- and $12$-gon cases, provide tighter or near-tight bounds for the $w$-weighted disk and polygon search problems, reducing the gap between upper and lower bounds significantly. The results offer near-optimal search trajectories and highlight the strength of LP relaxations in yielding tight bounds for complex continuous-discrete hybrid search problems, while also pointing to open questions about embeddability gaps and extensions to other communication models.

Abstract

We present several advancements in search-type problems for fleets of mobile agents operating in two dimensions under the wireless model. Potential hidden target locations are equidistant from a central point, forming either a disk (infinite possible locations) or regular polygons (finite possible locations). Building on the foundational disk evacuation problem, the disk priority evacuation problem with $k$ Servants, and the disk $w$-weighted search problem, we make improvements on several fronts. First we establish new upper and lower bounds for the $n$-gon priority evacuation problem with $1$ Servant for $n \leq 13$, and for $n_k$-gons with $k=2, 3, 4$ Servants, where $n_2 \leq 11$, $n_3 \leq 9$, and $n_4 \leq 10$, offering tight or nearly tight bounds. The only previous results known were a tight upper bound for $k=1$ and $n=6$ and lower bounds for $k=1$ and $n \leq 9$. Second, our work improves the best lower bound known for the disk priority evacuation problem with $k=1$ Servant from $4.46798$ to $4.64666$ and for $k=2$ Servants from $3.6307$ to $3.65332$. Third, we improve the best lower bounds known for the disk $w$-weighted group search problem, significantly reducing the gap between the best upper and lower bounds for $w$ values where the gap was largest. These improvements are based on nearly tight upper and lower bounds for the $11$-gon and $12$-gon $w$-weighted evacuation problems, while previous analyses were limited only to lower bounds and only to $7$-gons.

Multi-Agent Search-Type Problems on Polygons

TL;DR

The paper tackles multi-agent search with discrete target locations arranged as regular polygons, introducing the Polygon Priority Evacuation problem and related disk variants under wireless communication. It combines nonlinear program (NLP) formulations with linear program (LP) relaxations to derive upper and lower bounds for , , and , across a range of and (notably up to and ). The authors achieve improved lower bounds for and , and, through new analyses of - and -gon cases, provide tighter or near-tight bounds for the -weighted disk and polygon search problems, reducing the gap between upper and lower bounds significantly. The results offer near-optimal search trajectories and highlight the strength of LP relaxations in yielding tight bounds for complex continuous-discrete hybrid search problems, while also pointing to open questions about embeddability gaps and extensions to other communication models.

Abstract

We present several advancements in search-type problems for fleets of mobile agents operating in two dimensions under the wireless model. Potential hidden target locations are equidistant from a central point, forming either a disk (infinite possible locations) or regular polygons (finite possible locations). Building on the foundational disk evacuation problem, the disk priority evacuation problem with Servants, and the disk -weighted search problem, we make improvements on several fronts. First we establish new upper and lower bounds for the -gon priority evacuation problem with Servant for , and for -gons with Servants, where , , and , offering tight or nearly tight bounds. The only previous results known were a tight upper bound for and and lower bounds for and . Second, our work improves the best lower bound known for the disk priority evacuation problem with Servant from to and for Servants from to . Third, we improve the best lower bounds known for the disk -weighted group search problem, significantly reducing the gap between the best upper and lower bounds for values where the gap was largest. These improvements are based on nearly tight upper and lower bounds for the -gon and -gon -weighted evacuation problems, while previous analyses were limited only to lower bounds and only to -gons.
Paper Structure (53 sections, 9 theorems, 23 equations, 35 figures, 40 tables)

This paper contains 53 sections, 9 theorems, 23 equations, 35 figures, 40 tables.

Key Result

Theorem 2.1

Our positive and negative results provide only the first 5 digits of our computations, even though our numerical evaluations extend to at least 10 digits of accuracy. Often, we also have closed-form expressions, involving algebraic and trigonometric operations, that describe these numbers. However,

Figures (35)

  • Figure 1: Known upper bounds compared to our improved lower bounds for $\sc{DE}({w})$. The blue curve (labeled $a$) depicts the best upper bound known GW24-iwoca. The green curve (labeled $c$) depicts the previously best lower bound known, by a reduction to $\sc{PE}^{7}({w})$. The orange line (labeled $b$) depicts a universal lower bound of $1+\pi$ also proved in GW24-iwoca. The purple and black curves (labeled $d,e$, respectively) are new lower bounds on $\sc{DE}({w})$ by a reductions to $\sc{PE}^{11}({w})$ and $\sc{PE}^{12}({w})$, respectively (hence the maximum of them applies). The lower bounds were calculated for values of $w\in[0,1]$ starting from $0$ and with step size $0.01$.
  • Figure 2: Upper and lower bound obtained for $\sc{PE}^{11}({w})$ (left hand-side) and $\sc{PE}^{12}({w})$ (right hand-side). Starting from $w=0$, the lower bounds were obtained with $w$ step size of $0.01$ and the upper bounds with $w$ step size of $0.02$.
  • Figure 3: A search trajectory for $\sc{PE}^{9}_{1}$. Trajectory details can be found in Table \ref{['9gonk1tab']}. The Queen waits at $V_3$ for an amount of time such that the Queen arrives at $Q^{(5)}$ at time $2e_9$. The position of $Q^{(5)}$ has been adjusted for clarity.
  • Figure 4: A search trajectory for $\sc{PE}^{3}_{1}$. Trajectory details can be found in Table \ref{['3gonk1tab']}.
  • Figure 5: A search trajectory for $\sc{PE}^{4}_{1}$. Trajectory details can be found in Table \ref{['4gonk1tab']}.
  • ...and 30 more figures

Theorems & Definitions (13)

  • Theorem 2.1
  • Theorem 2.2
  • Theorem 2.3
  • Theorem 2.4
  • Lemma 3.2: Introduced in GW24-iwoca, for $k=1$
  • proof
  • Lemma 3.3
  • proof
  • Corollary 3.4
  • Example 5.1: Upper Bound to $\sc{PE}^{9}_{1}$
  • ...and 3 more